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About Inizio
Inizio is a global partner with over 10,500 experts operating in more than 50 countries. We support health and life science companies by turning science into strategy and executing across the product and patient journey. Our services include market research, strategy consulting, transformation consulting, and commercial benchmarking, all designed to be data-backed and patient-inspired.
Role Summary:
Seeking an Azure Data Engineer with 2–4 years of experience to build and support data pipelines on Azure and contribute to our Data Warehouse and Microsoft Fabric initiatives.
Key Responsibilities:
- Develop and maintain ADF pipelines for data ingestion and transformation
- Ingest data from databases, APIs, SFTP, and SharePoint into ADLS/Blob
- Process data across Raw → Staging → EDW layers
- Write and optimize SQL queries and stored procedures
- Implement incremental/delta loads and basic error handling
- Monitor and troubleshoot pipelines
- Work with Lakehouse concepts (Bronze/Silver/Gold)
- Support Python/PySpark-based transformations
- Contribute to Microsoft Fabric (Pipelines, Lakehouse, Notebooks)
Required Skills:
- 2–4 years of Data Engineering experience
- Strong Azure Data Factory (ADF) experience
- Strong SQL (queries, stored procedures)
- Strong understanding of Data Warehouse concepts (data modeling, staging, and EDW layers)
- Good understanding of incremental and delta data loading strategies
- Working knowledge of Python with PySpark for data transformations on Azure Databricks
- Understanding of Lakehouse architecture
- Familiarity with Microsoft Fabric (nice to have)
- Experience with metadata/config-driven pipeline frameworks (nice to have)
Our Pledge
At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability.
Artificial Intelligence
Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification, we encourage you to apply anyway.
Ready to apply?
Apply to Inizio
Azure Data Engineer - Analyst
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About Inizio
Inizio is a global partner with over 10,500 experts operating in more than 50 countries. We support health and life science companies by turning science into strategy and executing across the product and patient journey. Our services include market research, strategy consulting, transformation consulting, and commercial benchmarking, all designed to be data-backed and patient-inspired.
Role Summary:
Seeking an Azure Data Engineer with 2–4 years of experience to build and support data pipelines on Azure and contribute to our Data Warehouse and Microsoft Fabric initiatives.
Key Responsibilities:
- Develop and maintain ADF pipelines for data ingestion and transformation
- Ingest data from databases, APIs, SFTP, and SharePoint into ADLS/Blob
- Process data across Raw → Staging → EDW layers
- Write and optimize SQL queries and stored procedures
- Implement incremental/delta loads and basic error handling
- Monitor and troubleshoot pipelines
- Work with Lakehouse concepts (Bronze/Silver/Gold)
- Support Python/PySpark-based transformations
- Contribute to Microsoft Fabric (Pipelines, Lakehouse, Notebooks)
Required Skills:
- 2–4 years of Data Engineering experience
- Strong Azure Data Factory (ADF) experience
- Strong SQL (queries, stored procedures)
- Strong understanding of Data Warehouse concepts (data modeling, staging, and EDW layers)
- Good understanding of incremental and delta data loading strategies
- Working knowledge of Python with PySpark for data transformations on Azure Databricks
- Understanding of Lakehouse architecture
- Knowledge of Power Bi.
- Familiarity with Microsoft Fabric (nice to have)
- Experience with metadata/config-driven pipeline frameworks (nice to have)
Our Pledge
At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability.
Artificial Intelligence
Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification, we encourage you to apply anyway.
Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
Ready to apply?
Apply to Inizio Ignite
09.Data Engineer
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About PayPay India
Why India ?
To build our Payment services, we got technical cooperation from Paytm (A large payment service company in India). And based on their customer-first technologies , we created and expanded the smartphone payment service in Japan. Therefore, we have decided to establish a development base in India, because it is a major IT country with many talented engineers, as evidenced by the fact that cutting-edge mobile payments can continue to be generated.
OUR VISION IS UNLIMITED
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.
Ready to apply?
Apply to PayPay IndiaAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
Key Responsibilities
- Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence.
- Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy.
- Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance.
- Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions.
- Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities.
- Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions.
Required Qualifications
- Strong understanding or experience leading AI/ML teams in a SaaS or enterprise software environment.
- Deep expertise in time series forecasting and machine learning.
- Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures.
- Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
- Experience with agentic frameworks and autonomous agent architectures.
- Proficiency in Python and modern software development practices (testing, code review, CI/CD).
- Proven track record of delivering complex technical projects on time with high quality.
- Excellent communication, collaboration, and stakeholder management skills.
- Track record of delivering impactful AI solutions in a fast-paced, agile environment.
Preferred Qualifications
- Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- Experience with large-scale data processing frameworks like Spark.
- Familiarity with the challenges of applying AI in enterprise planning or financial domains.
- A portfolio of published research or contributions to open-source AI projects.
What Makes This Role Exciting
You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to Anaplan
Accounts Payable , Associate
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WHAT WE DO MATTERS:
At The Knot Worldwide, we champion celebration - and that starts with celebrating our people. Our employees are passionate dreamers, thoughtful doers, and lifelong learners who power meaningful moments for millions around the world. We’re united by authentic connection, shared purpose, and a deep commitment to the global community we serve. Here, flexibility and belonging go hand in hand with high performance. Driven by our core values, we believe the best ideas come from empowered teams: those who consistently collaborate with intention to design solutions, spark ideas, and drive impact. Our people are at the heart of our success.
ABOUT THE ROLE AND OUR TEAM
The Knot WorldWide is looking for a smart, results-oriented Accounts Payable Associate to support us with our Global AP Operations business. The person should be well-rounded and willing to jump in to get the job done wherever needed. The role will entail working on financial planning, managing accounts for the company, processing journal entries for invoice processing, looking at taxation policies, and staying compliant. Overall, he/she will also be responsible for accounts, costing, finance & audits of the unit, and handling the finance work at the unit level. The person will work with the Shared Services team for his/her scope of work and will report to the Accounts Payable Assistant Manager.
ESSENTIAL RESPONSIBILITIESWe are seeking a highly skilled and detail-oriented Associate – Accounts Payable to manage and optimize critical aspects of accounts payable operations. The ideal candidate will possess in-depth knowledge of Generally Accepted Accounting Principles (GAAP), exceptional organizational skills, and the ability to collaborate effectively with cross-functional teams. This role is pivotal in ensuring the accuracy, compliance, and efficiency of global AP processes.
Accounts Payable Operations- Process invoices accurately and efficiently using Coupa and NetSuite, ensuring compliance with VAT and multi-currency operations.
- Ensure proper coding of invoices to facilitate accurate month-end account closing.
- Manage vendor payments, ensuring timely processing and adherence to payment schedules.
- Collaborate with stakeholders to resolve invoice discrepancies, exceptions, and payment issues.
- Verify vendor accounts by reconciling monthly statements and addressing outstanding credits.
- Support timely and accurate completion of required reports to other offices Globally,
Compliance and Financial Accuracy
- Ensure all financial data is accurate and complete, meeting internal and external compliance standards.
- Review and verify expense reports, travel card transactions, and employee reimbursements for accuracy and policy adherence.
- Maintain up-to-date documentation for audit readiness and support auditors with requested information..
- Assistance with downloading tax invoices from various tax portals across different countries.
Process Improvement
- Identify opportunities for process optimization and assist in the implementation of automation tools, such as Invoice Smash.
- Collaborate with internal teams (Procurement, Legal, FP&A) to streamline AP workflows.
- Proactively suggest improvements to reduce errors and enhance operational efficiency.
Reporting and Data Analysis
- Prepare and deliver timely and accurate AP reports for management review.
- Analyze financial data to identify trends, anomalies, or cost-saving opportunities.
SUCCESSFUL CANDIDATES HAVE
- Bachelor’s degree in Accounting, Finance, or Management.
- 0-6 months of experience in accounts payable, purchasing, or financial systems operations.
- Proficiency in Excel (pivot tables, macros, and data analysis) and G-Suite.
- Understanding of GAAP standards, VAT regulations, and multi-currency operations.
- Fluency in English; both verbal and written is a must.
WHAT WE LOVE ABOUT YOU:
- You Dream Big. You iterate and experiment to drive innovation.
- You Love Our Users. You keep our global community at the center of everything you do.
- You Respect All Voices. Inclusion strengthens us and powers our decisions.
- You Hustle Every Day. You favor urgency and own your outcomes.
- You Win Together. People are at the heart of our success and you play as a team.
WHAT YOU LOVE ABOUT US:
The Knot Worldwide offers a unique employee experience and we are deeply proud of our award-winning culture. From flexible vacation and generous parental leave benefits to promoting wellness and giving back to our community, we believe in happiness above all else—in and out of the office.
--
Knot Worldwide provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, or disability. In addition to federal law requirements, The Knot Worldwide complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. The Knot Worldwide expressly prohibits workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
WORK MODEL:
This role is Together@TKWW-eligible and based near one of our office hubs. You’ll be expected to work in the office two days a week as part of our hybrid work model.
At The Knot Worldwide, we believe you are more than a resume and invite you to go for it, take the leap of faith, and apply for this job. Together, we have an incredible opportunity to make it even easier for our customers to plan life’s most meaningful moments and for our small business owners to grow and scale. We would love to have you with us on our journey.
WHAT WE LOVE ABOUT YOU:
- Commit to our customers: You act as one team on behalf of our customers. You lead with head and heart, and build what matters for life's most meaningful moments.
- Raise the bar: You define "great" and work backwards. You don't just accept how it's been done, but boldly define how it should be. You are unafraid to innovate, learn, and keep moving forward toward our shared vision.
- Be all in: You believe in our mission and take ownership of your work. You debate openly to reach the best outcomes, speaking with clarity and care, embracing diverse perspectives, then commit fully.
- Celebrate impact: You measure success by the outcomes you create. You hold yourself accountable to delivering value, while recognizing progress and the lessons learned along the way. You love to win, together.
WHAT YOU LOVE ABOUT US:
We believe in a wide range of holistic offerings to support our employees so that they can live our values day in and day out. From mental wellbeing, physical health and financial planning, to engaging perks and discounts, we are in the business of celebrating and supporting the Moments that Matter, both in and out of the office.. We offer flexible vacation, generous parental leave, and prioritize initiatives that support the growth, development, and happiness of our people.
- For Together@TKWW-eligible roles, this includes regular in-office time to foster collaboration and connection.
- For roles not eligible for in-office expectations, we support connection through virtual collaboration and intentional gatherings.
To facilitate in-person collaboration, we have office spaces in Barcelona, Spain; Delhi, India; Galway, Ireland; London, England; New York, NY; and Washington, D.C.
__
US Notice: The Knot Worldwide provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, or disability. In addition to federal law requirements, The Knot Worldwide complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. The Knot Worldwide expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
Privacy Notice: The Knot Worldwide (TKWW) processes your personal data to evaluate your application, based on the legal ground of taking steps prior to entering into a potential employment contract. Only the data strictly necessary for this purpose is collected. In some cases, your data may also be processed based on TKWW’s legitimate interests (e.g., to improve recruitment practices or manage candidate pools), to which you can object at any time. You have the right to access, rectify, or delete your data, and to object to certain uses. To learn more about your rights, please consult our The Knot Worldwide (TKWW) processes your personal data to evaluate your application, based on the legal ground of taking steps prior to entering into a potential employment contract. Only the data strictly necessary for this purpose is collected. In some cases, your data may also be processed based on TKWW’s legitimate interests (e.g., to improve recruitment practices or manage candidate pools), to which you can object at any time. You have the right to access, rectify, or delete your data, and to object to certain uses. To learn more about your rights, please consult our Privacy Policy. If you wish to file a complaint, you may contact the competent data protection authority. If you wish to file a complaint, you may contact the competent data protection authority.
Ready to apply?
Apply to The Knot Worldwide
About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
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
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Ready to apply?
Apply to Agoda
About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
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
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Ready to apply?
Apply to Agoda
About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
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
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Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Ready to apply?
Apply to Agoda
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is on a mission to revolutionize business planning by connecting organizations and people to make better, faster decisions. We are seeking a visionary Senior Manager for AI Engineering to lead our talented team in building the next generation of intelligent planning solutions. This is a critical leadership role where you will drive the technical strategy and execution for AI/ML initiatives, directly impacting Anaplan’s product and our customers' success. You will be at the forefront of integrating cutting-edge AI, from time series forecasting to generative and agentic AI, into our market-leading platform.
Key Responsibilities
- Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence.
- Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy.
- Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance.
- Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions.
- Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities.
- Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions.
Required Qualifications
- Proven experience leading AI/ML teams in a SaaS or enterprise software environment.
- Deep expertise in time series forecasting and machine learning.
- Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures.
- Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
- Experience with agentic frameworks and autonomous agent architectures.
- Proficiency in Python and modern software development practices (testing, code review, CI/CD).
- Proven track record of delivering complex technical projects on time with high quality.
- Excellent communication, collaboration, and stakeholder management skills.
- Track record of delivering impactful AI solutions in a fast-paced, agile environment.
Preferred Qualifications
- Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- Experience with large-scale data processing frameworks like Spark.
- Familiarity with the challenges of applying AI in enterprise planning or financial domains.
- A portfolio of published research or contributions to open-source AI projects.
- 10 Years +
What Makes This Role Exciting
You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to Anaplan
Lead Data Engineer
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Company Overview
Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.
Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.
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.
Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).
Arcesium is an equal opportunity employer.
Ready to apply?
Apply to Arcesium LLC
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role Summary
We are looking for a technically strong AI / ML Developer with hands-on expertise in training and fine-tuning Small Language Models (SLMs) and RAG Solutions. The ideal candidate will drive end-to-end AI Solutions — from dataset curation and pre-processing to training, evaluation, and production deployment. You will collaborate closely with product, product engineers, and infrastructure teams to build AI solutions that are efficient, scalable, and business-aligned.
Key Responsibilities
1 Model Design & Training
- Design, train, and fine-tune Small Language Models (SLMs) using frameworks such as PyTorch, TensorFlow, or JAX.
- Conduct experiments with supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and instruction tuning.
- Implement efficient training pipelines leveraging distributed training (DDP, FSDP) across GPU/TPU clusters.
- Perform hyperparameter optimisation, ablation studies, and model selection based on benchmark results.
- Develop and maintain data pipelines for collecting, cleaning, tokenising, and pre-processing large-scale training corpora.
2 Model Evaluation & Quality
- Define and implement evaluation frameworks including perplexity, BLEU, ROUGE, BERTScore, and task-specific benchmarks.
- Conduct red-teaming, bias analysis, and safety evaluations to ensure responsible AI deployment.
- Benchmark models against established baselines (e.g., GPT-2, Phi, Mistral) and track performance over iterations.
- Collaborate with QA teams to build regression suites for model versioning and continuous evaluation.
3 MLOps & Deployment
- Containerise and deploy models using Docker, Kubernetes, and cloud-native ML platforms (AWS SageMaker / GCP Vertex AI / Azure ML).
- Build and maintain model registries, experiment tracking (MLflow, Comet), and reproducible training pipelines.
- Optimise inference performance through quantisation (INT8, INT4), pruning, distillation, and ONNX/TensorRT conversion.
- Monitor model drift, data drift, and performance degradation in production; implement automated retraining triggers.
4 Research & Innovation
- Stay current with state-of-the-art NLP/LLM research; prototype and validate new techniques from published literature.
- Contribute to internal knowledge sharing, technical documentation, and model cards.
- Explore parameter-efficient fine-tuning (PEFT) methods such as LoRA, QLoRA, and Adapter layers.
- Investigate and apply mixture-of-experts (MoE), retrieval-augmented generation (RAG), and agentic workflows as needed.
5 Collaboration & Stakeholder Management
- Work with product managers and domain experts to translate business requirements into model objectives and KPIs.
- Communicate model capabilities, limitations, and trade-offs clearly to both technical and non-technical stakeholders.
- Participate in architecture reviews, sprint planning, and cross-functional design discussions.
Required Qualifications
1 Education
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field.
- Equivalent professional experience with a strong portfolio of delivered AI/ML projects will be considered.
2 Experience
- 4 – 6 years of professional experience in machine learning or NLP engineering.
- Minimum 2 years of direct, hands-on experience in training or fine-tuning language models (LLMs or SLMs).
- Demonstrable experience taking a model from dataset preparation through to production deployment.
3 Technical Skills — Core
- Programming: Python (proficient); familiarity with C++/CUDA a plus.
- Deep Learning Frameworks: PyTorch (primary), TensorFlow or JAX.
- NLP Libraries: Hugging Face Transformers, Datasets, PEFT, TRL, Accelerate.
- Training Infrastructure: Multi-GPU training, FSDP, DeepSpeed ZeRO stages 1–3.
- Data Engineering: Pandas, NumPy, Apache Spark or Dask for large-scale data prep.
- Vector DBs & Retrieval: FAISS, Pinecone, Weaviate, or equivalent.
- Cloud Platforms: AWS, GCP, or Azure — ML-specific services (SageMaker, Vertex AI, etc.).
- Version Control & CI/CD: Git, GitHub/GitLab, MLflow or W&B for experiment tracking.
4 Technical Skills — Nice to Have
- Experience with multimodal models or vision-language models (VLMs).
- Knowledge of model safety, alignment techniques, and responsible AI frameworks.
- Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.
- Contributions to open-source ML projects or publications at NeurIPS, ICML, EMNLP, ACL.
Behavioural Competencies
- Intellectual Curiosity: Keeps up with rapidly evolving AI research and applies learnings pragmatically.
- Problem Solving: Approaches ambiguous problems with structured, data-driven thinking.
- Ownership: Takes full accountability for model quality, timelines, and production reliability.
- Collaboration: Works effectively in cross-functional teams with diverse skill sets.
- Communication: Distils complex technical concepts for diverse audiences.
- Adaptability: Thrives in a fast-paced environment where priorities evolve with research breakthroughs.
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
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.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.
Key Responsibilities
- Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
- Develop and productionize ML models, taking them from prototype to scalable, live systems.
- Construct and manage the data pipelines required for model training, validation, and inference.
- Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
- Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
- Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
- Optimize applications for speed, scalability, and reliability.
- Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.
Required Qualifications
- Expert (10+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
- Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
- Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
- Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
- Data manipulation and analysis: Pandas, NumPy.
- Core ML frameworks: scikit-learn.
- Deep learning frameworks: Experience with TensorFlow or PyTorch.
- Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
- Experience with version control (Git) and CI/CD practices.
- Excellent problem-solving skills and the ability to write efficient, production-ready code.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
- Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
- Knowledge of large-scale data processing frameworks like Spark or Dask.
What Makes This Role Exciting
This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is on a mission to revolutionize business planning by connecting organizations and people to make better, faster decisions. We are seeking a visionary Senior Manager for AI Engineering to lead our talented team in building the next generation of intelligent planning solutions. This is a critical leadership role where you will drive the technical strategy and execution for AI/ML initiatives, directly impacting Anaplan’s product and our customers' success. You will be at the forefront of integrating cutting-edge AI, from time series forecasting to generative and agentic AI, into our market-leading platform.
Key Responsibilities
- Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence.
- Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy.
- Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance.
- Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions.
- Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities.
- Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions.
Required Qualifications
- Proven experience leading AI/ML teams in a SaaS or enterprise software environment.
- Deep expertise in time series forecasting and machine learning.
- Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures.
- Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
- Experience with agentic frameworks and autonomous agent architectures.
- Proficiency in Python and modern software development practices (testing, code review, CI/CD).
- Proven track record of delivering complex technical projects on time with high quality.
- Excellent communication, collaboration, and stakeholder management skills.
- Track record of delivering impactful AI solutions in a fast-paced, agile environment.
Preferred Qualifications
- Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- Experience with large-scale data processing frameworks like Spark.
- Familiarity with the challenges of applying AI in enterprise planning or financial domains.
- A portfolio of published research or contributions to open-source AI projects.
- Experience - 15+ years
What Makes This Role Exciting
You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.
Key Responsibilities
- Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
- Develop and productionize ML models, taking them from prototype to scalable, live systems.
- Construct and manage the data pipelines required for model training, validation, and inference.
- Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
- Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
- Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
- Optimize applications for speed, scalability, and reliability.
- Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.
Required Qualifications
- Expert (6+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
- Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
- Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
- Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
- Data manipulation and analysis: Pandas, NumPy.
- Core ML frameworks: scikit-learn.
- Deep learning frameworks: Experience with TensorFlow or PyTorch.
- Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
- Experience with version control (Git) and CI/CD practices.
- Excellent problem-solving skills and the ability to write efficient, production-ready code.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
- Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
- Knowledge of large-scale data processing frameworks like Spark or Dask.
What Makes This Role Exciting
This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.
Key Responsibilities
- Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
- Develop and productionize ML models, taking them from prototype to scalable, live systems.
- Construct and manage the data pipelines required for model training, validation, and inference.
- Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
- Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
- Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
- Optimize applications for speed, scalability, and reliability.
- Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.
Required Qualifications
- Expert (6+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
- Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
- Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
- Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
- Data manipulation and analysis: Pandas, NumPy.
- Core ML frameworks: scikit-learn.
- Deep learning frameworks: Experience with TensorFlow or PyTorch.
- Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
- Experience with version control (Git) and CI/CD practices.
- Excellent problem-solving skills and the ability to write efficient, production-ready code.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
- Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
- Knowledge of large-scale data processing frameworks like Spark or Dask.
What Makes This Role Exciting
This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
We are looking for a highly skilled and motivated Data and Analytics Systems Engineer to join our growing team. The ideal candidate will have a strong background in data engineering and analytics, with hands-on experience in designing, building, and maintaining data pipelines and analytics solutions. You will be responsible for leveraging a variety of technologies, including Google Cloud Platform, Google BigQuery, Tableau, Informatica, Databricks, Python, and Anaplan, to deliver high-quality data products and insights to our business stakeholders to ensure our Data & Analytics systems and operations are effective and efficient.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in a data engineering or analytics system management role.
- Proven experience with Google Cloud Platform (GCP), including Google BigQuery, Cloud Storage, and Cloud Functions.
- Experiences with data visualization tools, preferably Tableau.
- Proficiency in ETL/ELT tools like Informatica, Airflow, Dataproc, and so on.
- Experience with big data technologies such as Databricks and Spark.
- Strong programming skills in Python and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Familiarity with the Anaplan platform is a plus.
- Excellent problem-solving and communication skills.
- Ability to work independently and as part of a team.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is on a mission to revolutionize business planning by connecting organizations and people to make better, faster decisions. We are seeking a visionary Senior Manager for AI Engineering to lead our talented team in building the next generation of intelligent planning solutions. This is a critical leadership role where you will drive the technical strategy and execution for AI/ML initiatives, directly impacting Anaplan’s product and our customers' success. You will be at the forefront of integrating cutting-edge AI, from time series forecasting to generative and agentic AI, into our market-leading platform.
Key Responsibilities
- Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence.
- Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy.
- Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance.
- Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions.
- Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities.
- Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions.
Required Qualifications
- Proven experience leading AI/ML teams in a SaaS or enterprise software environment.
- Deep expertise in time series forecasting and machine learning.
- Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures.
- Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
- Experience with agentic frameworks and autonomous agent architectures.
- Proficiency in Python and modern software development practices (testing, code review, CI/CD).
- Proven track record of delivering complex technical projects on time with high quality.
- Excellent communication, collaboration, and stakeholder management skills.
- Track record of delivering impactful AI solutions in a fast-paced, agile environment.
Preferred Qualifications
- Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- Experience with large-scale data processing frameworks like Spark.
- Familiarity with the challenges of applying AI in enterprise planning or financial domains.
- A portfolio of published research or contributions to open-source AI projects.
- Experience requrired - 15+ Yrears
What Makes This Role Exciting
You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
We are looking for a highly skilled and motivated Data and Analytics Systems Engineer to join our growing team. The ideal candidate will have a strong background in data engineering and analytics, with hands-on experience in designing, building, and maintaining data pipelines and analytics solutions. You will be responsible for leveraging a variety of technologies, including Google Cloud Platform, Google BigQuery, Tableau, Informatica, Databricks, Python, and Anaplan, to deliver high-quality data products and insights to our business stakeholders to ensure our Data & Analytics systems and operations are effective and efficient.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in a data engineering or analytics system management role.
- Proven experience with Google Cloud Platform (GCP), including Google BigQuery, Cloud Storage, and Cloud Functions.
- Experiences with data visualization tools, preferably Tableau.
- Proficiency in ETL/ELT tools like Informatica, Airflow, Dataproc, and so on.
- Experience with big data technologies such as Databricks and Spark.
- Strong programming skills in Python and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Familiarity with the Anaplan platform is a plus.
- Excellent problem-solving and communication skills.
- Ability to work independently and as part of a team.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAbout Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
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
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Ready to apply?
Apply to Agoda
Staff Software Engineer (Snowflake Data Engineering)
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Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Staff Software Engineer L5 works with all service aspects of high throughput and multi-tenant services, has the ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability.
Duties and Responsibilities:
1. Work as part of a global, cross-functional team to build and operate innovative services/platforms for Inovalon applications.
2. Serve as a technical authority for complex projects and cross-team initiatives.
3. Own end-to-end architecture for large systems or multiple services; sets technical direction.
3. Define and enforce engineering best practices, coding standards, and architectural guidelines.
4. Lead design reviews and provide strategic input on system scalability and performance.
5. Collaborate effectively with cross-functional and partner teams to define project requirements.
6. Design, implement, test, deploy and maintain innovative software solutions to drive services optimization, cost, and security.
7. Write high quality distributed system software.
8. Mentor junior engineers and provide code reviews to ensure quality.
9. Shapes technical direction for the organization, drives innovation, and ensures scalability.
10. Apply Agile development principles to continuously deliver value and readily adapt to evolving requirements.
11. Maintain code integrity and organization, ensuring the highest level of performance for both front-end and back-end code.
12. Drive a results-oriented culture with a strong focus on engineering excellence, execution and propagate build for scale mindset.
Job Requirements:
1. Minimum 8-12 years in software development with demonstrated leadership in complex projects, leading design or architecture (design patterns, reliability, and scaling) of new or existing services/systems.
2. 8-12 years in data engineering or related roles.
3.***Advanced proficiency in Snowflake*** (data modeling, performance tuning, security), strong SQL skills for complex queries and optimization, and experience with ETL/ELT tools and data pipeline orchestration.
4. Optimize queries and data structures for high performance and scalability and implement best practices for data partitioning, clustering, and caching.
5. Integrate Snowflake with various data sources and BI tools
6. Define data strategy, ensure data integrity and performance across multiple systems.
7. Knowledge of Azure Data Services, Python, or Spark.
8. Familiarity with data warehousing best practices.
9. Experience with CI/CD for data pipelines.
10. Proficient in Java and Angular, AWS services and performance tuning techniques - design performance strategy for large-scale systems; mentors others on performance best practices.
11. Proven track record of leading technical teams and influencing architectural decisions. Lead multiple teams or initiatives, drive technical vision, and influences org-level decisions.
12. Partners with senior leadership, product strategy, and cross-functional teams to align technical roadmap.
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.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
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.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
Software Engineer (C++)
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Description:
Graviton Research Capital LLP, Gurgaon is looking to hire Software Engineers for our Core Technology team which has some of the best programmers in India working on cutting edge technologies to build a super fast and robust trading infrastructure handling millions of dollars worth of trading transactions every day.
As a Senior Software Engineer with Graviton your responsibilities will include:
- Designing and implementing a high-frequency automated trading system, that trades on multiple exchanges
- Building live reporting and administration tools for the trading system
- Performance optimization and improving the overall latency of systems, through algorithm research and using cutting edge tools and techniques
- End-to-end ownership of modules, including designing, development, deployment and support
- Growing the team through involvement in the regular hiring process and occasional campus recruitments
Requirements :
The ideal requirements for our candidates are:
- A degree in Computer Science
- 3-5 yrs Experience with C/C++ and object-oriented programming
- Experience in HFT industry
- Expertise in algorithms and data structures
- Excellent problem solving skills
- Strong communication skills
- A working knowledge of Linux systems
Any of the following is a plus:
- A good understanding of TCP/IP and Ethernet
- Knowledge of any other programming language e.g. Java, Scala, Python, bash, Lisp, etc.
- Familiarity with parallel programming models and parallel algorithms
- Experience with big data environments e.g. Hadoop, Spark etc.
Benefits:
Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great ideas and technological innovations. Everyone on the team is approachable, there is nothing better than working with friends!
Our perks have you covered.
- Competitive compensation
- Annual international team outing
- Fully covered commuting expenses
- Best-in-class health insurance
- Delightful catered breakfasts and lunches
- A well-stocked kitchen
- 4 week annual leaves along with market holidays
- Gym and sports club memberships
- Regular social events and clubs
- After work parties
Ready to apply?
Apply to Graviton Research Capital LLP
02.Senior Backend Engineer
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About PayPay India
Why India ?
To build our Payment services, we got technical cooperation from Paytm (A large payment service company in India). And based on their customer-first technologies , we created and expanded the smartphone payment service in Japan. Therefore, we have decided to establish a development base in India, because it is a major IT country with many talented engineers, as evidenced by the fact that cutting-edge mobile payments can continue to be generated.
OUR VISION IS UNLIMITED
AI-First Culture at PayPay
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.
Ready to apply?
Apply to PayPay IndiaInovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Staff Software Engineer L5 works with all service aspects of high throughput and multi-tenant services, has the ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability.
Duties and Responsibilities:
- 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;
- Champion the enterprise infrastructure vision and strategy;
- Be the expert in service reliability and sustainability;
- Develop and execute designs for complex systems backed by excellence, confidence, and thorough engineering analysis;
- Develop, gather, and leverage metrics to manage the server fleet and complex computing systems to drive automation, improvement, and performance;
- Take ownership of ensuring detailed design, analysis, testing, and optimization;
- Set direction/goals for the team regarding project impact, product quality and engineering efficiency;
- Lead major initiatives, projects, teams, rollouts and phased releases;
- 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:
- Minimum 15 years of plus experience with Unix management, complex computing platforms, and/or cutting-edge technologies involving virtualization, distribution, and high performance computing;
- Strives to achieve excellence backed by strong architectural, system design, and automation experience;
- Technology experience required; Hive, Hbase, Sqoop, Ranger, NIFI - Other technologies good to have; Spark, Phoenix, Spring Batch, Accumulo, Falcon, Atlas;
- Experience engineering solutions on one of the major Hadoop distributions - Java scripting and application support experience strongly desired;
- Experience with virtualization technologies required and driven to solve difficult problems with scalable, elegant, and maintainable solutions;
- Expert and creative troubleshooter – unrelenting, persistent, confident;
- A penchant for thinking outside the box to solve complex and interesting problems;
- Extensive knowledge of existing industry standards, technologies, and infrastructure operations;
- Ability to manage stressful situations with calm, courtesy, and confidence;
- Experience building and shipping high quality work and achieving high reliability; and
- Experience improving stability through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes.
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.
Inovalon Offers a Competitive Salary and Benefits Package
In addition to the base compensation, this position may be eligible for performance-based incentives.
The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That’s why Inovalon offers a valuable benefits package with a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Staff Software Engineer L5 works with all service aspects of high throughput and multi-tenant services, has the ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability.
Duties and Responsibilities:
- 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;
- Champion the enterprise infrastructure vision and strategy;
- Be the expert in service reliability and sustainability;
- Develop and execute designs for complex systems backed by excellence, confidence, and thorough engineering analysis;
- Develop, gather, and leverage metrics to manage the server fleet and complex computing systems to drive automation, improvement, and performance;
- Take ownership of ensuring detailed design, analysis, testing, and optimization;
- Set direction/goals for the team regarding project impact, product quality and engineering efficiency;
- Lead major initiatives, projects, teams, rollouts and phased releases;
- 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:
- Minimum 15 years of plus experience with Unix management, complex computing platforms, and/or cutting-edge technologies involving virtualization, distribution, and high performance computing;
- Strives to achieve excellence backed by strong architectural, system design, and automation experience;
- Technology experience required; Hive, Hbase, Sqoop, Ranger, NIFI - Other technologies good to have; Spark, Phoenix, Spring Batch, Accumulo, Falcon, Atlas;
- Experience engineering solutions on one of the major Hadoop distributions - Java scripting and application support experience strongly desired;
- Experience with virtualization technologies required and driven to solve difficult problems with scalable, elegant, and maintainable solutions;
- Expert and creative troubleshooter – unrelenting, persistent, confident;
- A penchant for thinking outside the box to solve complex and interesting problems;
- Extensive knowledge of existing industry standards, technologies, and infrastructure operations;
- Ability to manage stressful situations with calm, courtesy, and confidence;
- Experience building and shipping high quality work and achieving high reliability; and
- Experience improving stability through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes.
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.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Staff Software Engineer L5 works with all service aspects of high throughput and multi-tenant services, has the ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability.
Duties and Responsibilities:
- 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;
- Champion the enterprise infrastructure vision and strategy;
- Be the expert in service reliability and sustainability;
- Develop and execute designs for complex systems backed by excellence, confidence, and thorough engineering analysis;
- Develop, gather, and leverage metrics to manage the server fleet and complex computing systems to drive automation, improvement, and performance;
- Take ownership of ensuring detailed design, analysis, testing, and optimization;
- Set direction/goals for the team regarding project impact, product quality and engineering efficiency;
- Lead major initiatives, projects, teams, rollouts and phased releases;
- 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:
- Minimum 15 years of plus experience with Unix management, complex computing platforms, and/or cutting-edge technologies involving virtualization, distribution, and high performance computing;
- Strives to achieve excellence backed by strong architectural, system design, and automation experience;
- Technology experience required; Hive, Hbase, Sqoop, Ranger, NIFI - Other technologies good to have; Spark, Phoenix, Spring Batch, Accumulo, Falcon, Atlas;
- Experience engineering solutions on one of the major Hadoop distributions - Java scripting and application support experience strongly desired;
- Experience with virtualization technologies required and driven to solve difficult problems with scalable, elegant, and maintainable solutions;
- Expert and creative troubleshooter – unrelenting, persistent, confident;
- A penchant for thinking outside the box to solve complex and interesting problems;
- Extensive knowledge of existing industry standards, technologies, and infrastructure operations;
- Ability to manage stressful situations with calm, courtesy, and confidence;
- Experience building and shipping high quality work and achieving high reliability; and
- Experience improving stability through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes.
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.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Staff Engineer L6 will lead development for various Inovalon products and platforms, innovating to overcome current technology and bring in solutions which solve resiliency, scale, security in a completely different level. This position brings subject matter expertise as a functional lead and is tasked with ensuring a high level of discipline and productivity.
Duties and Responsibilities:
- Design, build and maintain scalable data pipelines and access patterns related to Healthcare;
- Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing in AWS;
- Document and estimate technical scope and design as needed;
- Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem;
- Involve and drive a culture of collaborative reviews of designs, code and test plans;
- Work with business stake holders and architecture engineering leads to ensure quality solutions are implemented and engineering standard methodologies adhered to;
- DevOps Focus – Utilize and advance continuous integration and deployment frameworks;
- Solve complex data issues and perform root cause analysis;
- Work across teams to resolve operational & performance issues;
- Provide strong technical leadership, raise the technical bar, maintain data and results-driven culture, nurture a team culture of high collaboration and trust;
- Communicate effectively and partner well with other disciplines of the project team to deliver high quality solutions from ideas to production code;
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines;
- Influence and coach junior engineers both within and outside of your team; be a role model for an open, honest, and inclusive approach to problem solving;
- Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work; and
- Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
- On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.
Job Requirements:
- Minimum of 15 years of IT experience with at least 2 years’ experience with public cloud (AWS) including serverless architecture and cloud warehousing solutions;
- Strong experience using managed services and Infrastructure as a service;
- Minimum of 6 years of strong experience with Big Data and related processing frameworks such as EMR, Spark, and Airflow;
- Strong programming experience in Python and Java/Scala preferred;
- Hands on coder who masters the concepts behind distributed databases, batch and stream processing;
- Experience in working with extremely large healthcare datasets, preferably in an architect/lead role;
- Strong familiarity with healthcare data formats including EDI and FHIR;
- Architect and code solutions for large-scale ETL pipelines with data processing frameworks and sourcing data from a diverse array of sources;
- Experience building microservices and event-based architectures;
- Experience with AWS Security Architecture including IAM, Security groups and policies;
- Hands on experience with Terraform and/or cloud formation;
- Experience building CI/CD pipelines in public cloud and creating a culture of automation;
- Experience leading and mentoring junior engineers;
- Experience working with scalable cloud-based data warehousing solutions such as Redshift, Snowflake;
- Systems engineering experience, including engineering, configuration, and management of Windows and Linux server environments;
- Prior Experience in migration of applications to AWS;
- Excellent oral and written communication skills;
- Excellent time management and problem-solving skills with the ability to adapt to changing business priorities and operational demands;
- Extensive knowledge of existing industry standards, technologies, and operational norms;
- An entrepreneurial spirit with a can-do attitude – a self-starter, project finisher and adaptive, collaborative; and
- Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions.
Education:
- Bachelor's degree in computer science, Software Engineering, or Information Technology
Physical Demands and Work Environment:
- Sedentary work (i.e. sitting for long periods of time).
- Subject to inside environmental conditions.
- Travel for this position will include less than 10% locally usually for training purposes.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Staff Engineer L6 will lead development for various Inovalon products and platforms, innovating to overcome current technology and bring in solutions which solve resiliency, scale, security in a completely different level. This position brings subject matter expertise as a functional lead and is tasked with ensuring a high level of discipline and productivity.
Duties and Responsibilities:
- Design, build and maintain scalable data pipelines and access patterns related to Healthcare;
- Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing in AWS;
- Document and estimate technical scope and design as needed;
- Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem;
- Involve and drive a culture of collaborative reviews of designs, code and test plans;
- Work with business stake holders and architecture engineering leads to ensure quality solutions are implemented and engineering standard methodologies adhered to;
- DevOps Focus – Utilize and advance continuous integration and deployment frameworks;
- Solve complex data issues and perform root cause analysis;
- Work across teams to resolve operational & performance issues;
- Provide strong technical leadership, raise the technical bar, maintain data and results-driven culture, nurture a team culture of high collaboration and trust;
- Communicate effectively and partner well with other disciplines of the project team to deliver high quality solutions from ideas to production code;
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines;
- Influence and coach junior engineers both within and outside of your team; be a role model for an open, honest, and inclusive approach to problem solving;
- Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work; and
- Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
- On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.
Job Requirements:
- Minimum of 15 years of IT experience with at least 2 years’ experience with public cloud (AWS) including serverless architecture and cloud warehousing solutions;
- Strong experience using managed services and Infrastructure as a service;
- Minimum of 6 years of strong experience with Big Data and related processing frameworks such as EMR, Spark, and Airflow;
- Strong programming experience in Python and Java/Scala preferred;
- Hands on coder who masters the concepts behind distributed databases, batch and stream processing;
- Experience in working with extremely large healthcare datasets, preferably in an architect/lead role;
- Strong familiarity with healthcare data formats including EDI and FHIR;
- Architect and code solutions for large-scale ETL pipelines with data processing frameworks and sourcing data from a diverse array of sources;
- Experience building microservices and event-based architectures;
- Experience with AWS Security Architecture including IAM, Security groups and policies;
- Hands on experience with Terraform and/or cloud formation;
- Experience building CI/CD pipelines in public cloud and creating a culture of automation;
- Experience leading and mentoring junior engineers;
- Experience working with scalable cloud-based data warehousing solutions such as Redshift, Snowflake;
- Systems engineering experience, including engineering, configuration, and management of Windows and Linux server environments;
- Prior Experience in migration of applications to AWS;
- Excellent oral and written communication skills;
- Excellent time management and problem-solving skills with the ability to adapt to changing business priorities and operational demands;
- Extensive knowledge of existing industry standards, technologies, and operational norms;
- An entrepreneurial spirit with a can-do attitude – a self-starter, project finisher and adaptive, collaborative; and
- Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions.
Education:
- Bachelor's degree in computer science, Software Engineering, or Information Technology
Physical Demands and Work Environment:
- Sedentary work (i.e. sitting for long periods of time).
- Subject to inside environmental conditions.
- Travel for this position will include less than 10% locally usually for training purposes.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
Staff Machine Learning Engineer
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About AiDASH
AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities. Powered by proprietary VegetationAI™ technology, AiDASH delivers a unified remote grid inspection and monitoring platform that uses a SatelliteFirst approach to identify and address vegetation and other threats to the grid. With a prevention-first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks. AiDASH exists to safeguard critical utility infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com.
We are a Series C growth company backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others. We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.” We are also proud to be one of the few software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.
Join us in Securing Tomorrow!
The Role
We’re looking for a seasoned Staff Machine Learning Engineer to shape and scale the backbone of our production ML ecosystem. In this role, you will architect high-performing ML systems that power our geospatial intelligence platform, transforming large-scale satellite and aerial imagery into actionable insights. You’ll lead end-to-end ownership—from model deployment and MLOps to infrastructure design—while partnering closely with data science, platform engineering, and product teams to deliver reliable, scalable, and cost-efficient ML solutions. If you thrive at the intersection of deep technical expertise, system design, and cross-functional collaboration, this role is for you.
How you'll make an impact:
ML System Architecture & Production Deployment
- Design, build, and maintain end-to-end ML pipelines for batch processing of satellite and aerial imagery
- Deploy and scale ML models in production on AWS infrastructure, leveraging services like SageMaker, Bedrock,or custom-built solutions
- Implement MLflow for experiment tracking, model versioning, and model registry management
- Architect batch inference systems optimized for throughput and cost-efficiency
- Work with geospatial data formats and coordinate reference systems
- Collaborate with data scientists to transition models from research to production
- Partner with platform engineering to build scalable compute, GPU clusters, and storage layers
ML Operations & Reliability
- Implement comprehensive model monitoring systems to track performance degradation and data drift
- Design and execute canary deployments and A/B testing frameworks for safe model rollouts
- Build active learning pipelines to continuously improve model performance with minimal labeling effort
- Establish model evaluation frameworks and performance benchmarking processesCreate alerting and observability systems for production ML workloads
Technical Leadership
- Mentor ML engineers and data scientists on best practices for production ML
- Drive technical decision-making on ML infrastructure and tooling
- Collaborate with platform and data engineering teams to optimize the ML stack
- Establish engineering standards and contribute to architectural roadmaps
What we’re looking for:
- 5+ years of experience in machine learning engineering with 2+ years in a senior or lead capacity
- Proven track record deploying and maintaining ML systems in production using AWS services (SageMaker,Lambda, ECS/EKS, S3, etc.)
- Strong hands-on experience with tools like MLflow, WandB, or similar for experiment tracking and model management
- Deep expertise in image segmentation and computer vision techniques using frameworks like PyTorch or TensorFlow
- Production experience with ensemble models (xgboost, lightgbm, RF)
ML Operations Expertise
- Experience implementing model monitoring, drift detection, and alerting systems
- Hands-on experience with canary deployments, A/B testing and Shadow deployments for ML models
- Knowledge of active learning strategies and human-in-the-loop ML systems
- Strong understanding of model evaluation metrics, bias detection, and performance analysis
Technical Skills
- Expert-level Python programming with ML libraries (scikit-learn, PyTorch/TensorFlow, NumPy, pandas, etc)
- Experience with distributed batch processing frameworks (Airflow, Step Functions, Argo Workflows, Spark,Dask, Ray or similar)
- Proficiency with AWS ML ecosystem and infrastructure-as-code (Terraform, CloudFormation)
- Hands-on experience with dataset versioning tools such as DVC, LakeFS, Delta Lake, Quilt, or Pachyderm
- Strong software engineering fundamentals: unit/integration testing, CI/CD, version control, observability, designpatterns
- Experience with containerization (Docker, Kubernetes) for model deployment
- Good to have experience with ML Orchestration tools like Kubeflow, Vertex AI, etc
- Nice to have experience with GPUs: scheduling GPU jobs, optimizing GPU performance, memory profiling
We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.
Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/
Ready to apply?
Apply to AiDASH, Inc.
SDE 3 - Platform
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About AiDASH
AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities. Powered by proprietary VegetationAI™ technology, AiDASH delivers a unified remote grid inspection and monitoring platform that uses a SatelliteFirst approach to identify and address vegetation and other threats to the grid. With a prevention-first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks. AiDASH exists to safeguard critical utility infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com.
We are a Series C growth company backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others. We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.” We are also proud to be one of the few software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.
Join us in Securing Tomorrow!
The Role
As a SDE - 3 Platform Engineer at AiDASH, you’ll design, develop, and deploy scalable distributed systems that power our AI-driven platforms. You will build robust backend services, automated data pipelines, and analytical tools to deliver actionable insights for business-critical decisions. Partnering with product, data, and design teams, you’ll own solutions end-to-end — from system design to production deployment. Your expertise in microservices, Python, SQL/NoSQL, and cloud-native technologies (AWS, Docker, Kubernetes) will help evolve our architecture as we scale. Beyond coding, you’ll drive engineering excellence through code reviews, refactoring, and performance optimization, while mentoring peers and fostering reusable, reliable system design. If you thrive in solving complex challenges, love automation, and want to shape systems that make industries climate-resilient, this role is for you.
How you'll make an impact:
-
Design, develop and deploy scalable distributed systems
-
Build scalable backend systems to support internal workflows backed by automated pipelines and ML models
-
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics
-
Implement scalable and resilient distributed systems, ensuring fault tolerance and reliability
-
Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues
-
Deploy code to production and engage in code reviews
-
Refactor service to improve code quality, runtime efficiency and resource optimisation
-
Build tools that improve engineering productivity
-
Become in-house experts and provide consultation to product engineers to help them build scalable and reliable systems
-
Evolve AiDASH architecture as we continue to scale
-
Monitor, analyze, and optimize system performance and resource utilization
-
Stay updated with the latest advancements in distributed systems technologies and methodologies
What we're looking for:
Technical Expertise
-
6+ years of experience designing and building scalable, reusable platforms/components
-
Strong in system design & microservices, distributed systems, and API development
-
Solid foundation in data structures & algorithms
-
Hands-on expertise in Python (backend, data workflows), Spark/Big Data, Airflow and Snowflake (Good to have)
-
Strong with SQL/NoSQL (PostgreSQL, MySQL, MongoDB)
-
Experienced in RESTful API design, development, and maintenance
-
Proficient with cloud platforms (AWS), containers (Docker, Kubernetes)
Engineering Maturity
-
Strong debugging and optimization skills — load testing, profiling, bottleneck resolution
-
Familiar with backend security (encryption, authN/authZ, compliance)
-
Experience in CI/CD, unit testing, code coverage, and ensuring production readiness
-
Focus on scalability, reliability, and cost-efficient systems
Collaboration & Leadership
-
Works well cross-functionally to build reusable platform capabilities
-
Mentors peers, reviews with architectural thinking
-
Can break down complex product requirements into platform abstractions
Mindset & Growth
-
Thrives in fast-paced environments, balancing delivery with long-term vision
-
Curious and open to exploring new tech (e.g., AI-powered workflows
-
Bias for automation and building self-service, reusable solutions
We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.
Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/
Ready to apply?
Apply to AiDASH, Inc.
01.Backend Engineer
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About PayPay India
Why India ?
To build our Payment services, we got technical cooperation from Paytm (A large payment service company in India). And based on their customer-first technologies , we created and expanded the smartphone payment service in Japan. Therefore, we have decided to establish a development base in India, because it is a major IT country with many talented engineers, as evidenced by the fact that cutting-edge mobile payments can continue to be generated.
OUR VISION IS UNLIMITED
AI-First Culture at PayPay
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.
Ready to apply?
Apply to PayPay India