About the Role 

As a People and Culture Business Partner, you will play a pivotal role in shaping the employee experience and people strategy for Nepal while working closely with the Director of People & Culture, APAC on high‑impact regional priorities. This is a visible, hands‑on role designed for someone who thrives at the intersection of culture, performance, and growth—and wants to help build the people foundations of a scaling, tech‑driven organization. 

You’ll act as a trusted advisor to leaders and employees, influencing how teams work, grow, and succeed every day. From performance and engagement to leadership development and culture‑building initiatives, you’ll bring people strategies to life in a way that resonates locally while aligning with global standards and best practices. You’ll also play a key role in strengthening belonging, inclusion, and connection across teams—using both human insight and modern HR tools to drive consistency, efficiency, and impact. 

If you’re excited by the opportunity to partner with leaders, use technology and data to elevate employee experience, and leave a visible mark on how teams thrive, this role offers both scope and momentum. 

Your day to day 

• Partner closely with the Director of People & Culture, APAC to execute regional people programs and deliver priority initiatives across the APAC region.
• Serve as the primary People Business Partner for Nepal, supporting cross‑functional and technical teams with people matters including performance conversations, team effectiveness, and workforce needs.
• Design and deliver engaging employee experience initiatives—such as engagement surveys, culture programs, and well‑being efforts—tailored to local teams and informed by data.
• Drive the execution of core people processes including goal setting, performance reviews, and feedback cycles, ensuring a fair, consistent, and well‑communicated experience.
• Implement and continuously improve HR policies and processes, balancing local labor law requirements with global frameworks and best practices.
• Collaborate with Learning & Development to support onboarding, leadership development, and people‑leader capability programs.
• Leverage HR systems and people analytics to identify trends, surface risks (e.g., engagement, attrition, performance), and recommend clear, actionable solutions to senior P&C stakeholders. 

What you bring to the team 

• Minimum 5 years of experience in People & Culture or HR, including 2–3 years in a HR Business Partner or generalist role—ideally within a tech, product, or high‑growth environment.
• Strong working knowledge of HR practices and employment laws in Nepal; experience supporting multi‑country or regional teams is a plus.
• Hands‑on experience with HR tools including HRIS platforms, performance or engagement tools, and people analytics or reporting dashboards.
• Proven experience supporting performance cycles, employee engagement initiatives, onboarding programs, and policy implementation.
• Data‑driven mindset, with the ability to interpret people insights and translate them into practical recommendations.
• Strong communication and relationship‑building skills, with the credibility to partner effectively across levels, teams, and cultures.
• Comfort operating in a fast‑paced environment while managing multiple priorities with strong attention to detail.
• Cultural agility and the ability to navigate local and global perspectives with empathy and confidence.
• Fluency in English (written and spoken) to collaborate effectively in a regional and global setting.
• Bachelors or Master's degree in HR, Business Management, or a related field.] 

What we would like to see, but not required 

• Background supporting technology organizations and collaborating with international teams.
• Practical experience leveraging HR tools, systems, and analytics to elevate employee experience and inform people strategy. 

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Working Arrangements

• Standard hours: 9 hours/day, 5 working days
• Location: Onsite
• Shift: 10 AM – 7 PM local time

About the role 

We are seeking an accomplished Senior Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work with internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment. 

You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will ensure high-quality, compliant data operations across the lifecycle. 

Your day to day 

• Architect, design, and implement high‑volume batch and real‑time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
• Build end‑to‑end ingestion frameworks integrating Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor APIs, ensuring data quality, lineage, and schema evolution.
• Design and optimize data models (star/snowflake schemas) and apply performance tuning techniques for analytical workloads on cloud data warehouses.
• Translate complex business requirements into detailed technical specifications, reusable engineering components, and implementation artifacts.
• Establish and enforce data engineering best practices, including CI/CD for data pipelines, version control, automated testing, orchestration, logging, and observability.
• Drive performance and cost optimization through profiling, cluster tuning, partitioning, indexing, caching, and compute optimization across Databricks and Snowflake.
• Ensure operational excellence and team growth by producing high‑quality documentation (runbooks, architecture diagrams), monitoring and troubleshooting production pipelines, performing root‑cause analysis, and mentoring junior engineers.

What you bring to the team 

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field, with 5+ years of hands‑on experience as a Data Engineer building and operating large‑scale, distributed data systems in modern cloud environments.
•  Proven ability to clearly communicate complex technical concepts and solutions to both technical and non‑technical stakeholders.
•  Expert‑level proficiency in Python, SQL, and PySpark, including development of distributed transformations and performance‑optimized queries.
• Demonstrated experience designing, building, and operating ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
• Proven experience architecting or operating large‑scale data platforms using DBT, Kafka, Delta Lake, and event‑driven or streaming architectures in cloud‑native data or platform engineering environments.
• Strong working knowledge of AWS data services (S3, SQS, Lambda, Glue, IAM or equivalents), structured and semi‑structured data formats (Parquet, ORC, JSON, Avro), schema evolution, and optimization techniques.
• Hands‑on experience with Terraform and CI/CD pipelines (e.g., GitLab), deep expertise in SQL and compute optimization (partitioning, clustering, Z‑Ordering, pruning, caching), and performance tuning on cloud data warehouses such as Snowflake (preferred), BigQuery, or Redshift

What we would like to see but not required: 

• Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows. 

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Working Arrangements

• Standard hours: 9 hours/day, 5 working days
• Location: Onsite
• Shift: 10 AM – 7 PM local time

About the role

Our Solution Architecture team is looking to bring on an experienced Solution Architect to support both ongoing and new implementations.  We see significant growth in our future and would love for you to be a part of it! You will partner with customers and numerous internal teams to craft highly scalable, flexible and resilient cloud architectures that provide solutions to solve customer business problems and accelerate the adoption of Abacus’ offerings. As a solutions architect, you will demonstrate best practices around advanced cloud solutions and healthcare payer systems including claims processing (i.e., Medical, Vision, Prescription claims), clinical informatics (e.g., Lab Results), provider systems such as EHR, and CMS Interoperability Mandate solutions.  As a trusted customer advocate, you will have the opportunity to guide a client’s successful adoption of Abacus’ core data management offerings as well as data solutions such as CMS Interoperability, HEDIS and Payment Integrity.

Your day to day

• Collaborate with customers’ business and IT teams to understand the current business and system capabilities and determine the desired state to define the overall technology strategy roadmap
• Author the project architecture design documents, including data flows, sequence diagrams and overall system architecture, that will drive the technical implementation of the solutions.
• Work closely with cross-functional Abacus teams, including business experts, technical business analysts, project managers, sales / account executives and data engineers to successfully implement client projects which reduce technology costs and solution redundancy.
• Collaborate with Product Management to identify client-specific requirements that may translate into an existing standard product feature or a future feature on the Abacus product roadmap.
• Define the solution architecture visions for designated components that describe the long-term goals as well as near-term needs of the client.
• Provide mentorship to internal teams on business needs and use cases for seamless client implementation. Provide ongoing support to address questions and issues raised by the implementation team.

What you bring to the team

• 5 – 7 years of experience in the healthcare IT space, including prior experience in a customer-facing technical role
• Understanding and passion for healthcare data and systems – including payer, provider, and integration partners. Strong working knowledge of US healthcare data, including but not limited to Medical Claims, Pharmacy Claims, Membership / Enrollment, Provider and Clinical.
• Strong communication skills to leverage their domain and technical expertise effectively with the client and build working relationships with internal and external team members. Ability to communicate succinctly and clearly, both verbally and written, across technical and non-technical audiences at multiple levels, including business leaders.
• Working knowledge of GenAI and agentic AI strategies, implementation and governance with a focus on leveraging for efficiency improvements.
• Working knowledge of CMS Interoperability Mandate (9115 / 0057).
• Broad technical knowledge as well as competencies in infrastructure, data models, databases, programming, frameworks, standards, and technical modeling. Strong experience with one or more cloud vendors (AWS / Azure / GCP) and data platforms (Databricks / Snowflake) desired.
• Ability to define the solution architecture vision in architecture design documents
• Experience translating business needs into technology solutions that enable delivery of the Abacus platform.
• Experience working in the payer / healthcare data space and understanding of the historical data architecture needs of our clients.

What we would like to see, but not required:

• Working knowledge of:
  • Provider (EHR) data formats and topics – including FHIR, X-12, HL-7 V2.3, and CCDA/CDA - as well as the general system architecture required to consume and make use of this data.
  • Utilization Management / Care Management / Disease Management business processes / data structures.
  • Medicaid data sets, specifically T-MSIS (Transformed Medicaid Statistical Information System) and how it is used by Medicaid plans.
  • Master Data Management (MDM) processes, tools and strategies.

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Working Arrangements

• Standard hours: 9 hours/day, 5 working days
• Location: Onsite
• Shift: 1PM - 10 PM local time

About the Role

The Site Reliability and Forward Deployed Engineer is an experienced individual contributor responsible for supporting production operations, incident response, and post‑launch reliability across the Abacus Insights platform.

This role combines:

• Production operations and reliability engineering
• Deep technical problem-solving during incidents and escalations
• Customer‑facing technical support for deployments and issues
• Hands‑on software development and automation

You will work on complex production issues involving AWS infrastructure, Databricks workloads, and data pipelines, partnering closely with senior engineers and platform teams. You will engage with customers during escalations and deployments and help translate learnings into product and operational improvements. This is a hands‑on role. You are expected to actively participate in incidents, debug live systems, and write production code that improves system reliability and operability, with guidance from senior technical leaders.

Your day to day

• Act as a technical escalation point during production incidents, leading real‑time triage, mitigation, and recovery efforts.
• Drive root cause analysis (RCA) and ensure follow‑up remediation and reliability improvements are completed and tracked.
• Support post‑launch reliability by investigating and resolving production defects and field‑reported issues.
• Partner closely with Engineering, Data, and Customer Success teams to support customers during high‑impact incidents and escalations.
• Improve operational readiness through better runbooks, monitoring, alerting, and incident response practices.
• Work directly with customers on complex deployments, integrations, and production troubleshooting in customer environments.
• Write production‑quality code (primarily Python) to automate operational workflows, improve observability, and reduce manual toil.
• Support and troubleshoot AWS‑ and Databricks‑based production systems, including performance, scalability, and data correctness issues.
• Capture learnings from incidents and customer engagements and translate them into reusable tools, documentation, and product improvements.

What you bring to the team

• 3 - 5 years of experience in software engineering, SRE, sustaining engineering, or production operations
• Hands‑on experience supporting production systems in AWS
• Experience troubleshooting large‑scale data platforms or Databricks
• Proficiency in Python and experience building or supporting production services or tooling
• Working knowledge of:
  • Distributed systems fundamentals
  • Incident response and RCA practices
  • Monitoring, alerting, and observability
  • CI/CD pipelines and Infrastructure as Code concepts
• Strong communication skills during incidents and customer interactions
• Ability to take ownership of issues through resolution with support and guidance
• Good operational judgment and willingness to learn how to proactively reduce risk

What we would like to see, but not required

• Experience in regulated or healthcare data environments
• Familiarity with Kubernetes (EKS), EMR, Lambda, Spark internals, Snowflake, Databricks or similar data warehouses
• Experience participating in on‑call or SRE programs
• Prior customer‑facing or escalation engineering experience

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Working Arrangements

• Standard hours: 9 hours/day, 5 working days
• Location: Onsite
• Shift: 1 PM - 10 PM local time

About the Role:

We are seeking an experienced Senior Data QA Engineer to lead the design and implementation of comprehensive data quality testing strategies for our data platforms and pipelines. In this role, you will be responsible for ensuring data integrity, accuracy, and reliability across our data ecosystem through advanced testing methodologies and automation frameworks.

Your day to day:

• Design and implement end-to-end data quality testing strategies for data pipelines, ETL/ELT processes, and data warehouses
• Develop automated data validation frameworks to verify data accuracy, completeness, and consistency
• Create and maintain data quality metrics, monitor dashboards, and alert mechanisms
• Perform complex SQL queries to validate data transformations and business logic
• Design test cases for data ingestion, processing, and consumption layers
• Collaborate with data engineers, data scientists, and analysts to understand data requirements and quality standards
• Lead root cause analysis for data quality issues and implement preventive measures
• Mentor junior QA engineers and establish data testing best practices

What We're Looking For:

• Bachelor’s or master’s degree in computer science, Business Administration, or comparable professional experience
• Minimum 5 years of data quality assurance expertise within healthcare technology companies or health insurance organizations
• Proficient in complex data transformation and manipulation techniques
• Advanced SQL expertise with proven experience in data integration and validation
• Comprehensive understanding of ETL/ELT workflows and quality assurance methodologies for data processing validation
• In-depth expertise in data pipeline architecture and implementing quality control frameworks
• Practical experience with Spark SQL for distributed data processing
• Extensive knowledge of healthcare data domains including member enrollment, medical claims processing, and prescription drug claims; familiarity with emerging data sources (wellness programs, productivity metrics, and electronic medical records) is advantageous
• Outstanding verbal and written communication abilities with demonstrated success in managing multiple priorities and delivering on tight timelines
• Exceptional collaborative and relationship-building capabilities
• Self-directed professional who excels both as an individual contributor and team player, with proven mentoring experience
• Hands-on experience with scripting languages, particularly Python and Java
• Comprehensive expertise in AWS cloud services including S3, EC2, Systems Manager, Athena, and Databricks platform
• Thorough understanding of software testing methodologies, debugging techniques, and quality assurance protocols

Nice to Have:

• Experience with Big Data, Snowflake, and ETL test automation
• Hands‑on API testing experience
• Healthcare domain knowledge, including HEDIS quality measures
• Machine Learning and Artificial Intelligence concepts with practical application experience in production environments
• Proficiency in testing automation frameworks and database technologies

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Working Arrangements

• Standard hours: 9 hours/day, 5 working days
• Location: Onsite
• Shift: 10 AM – 7 PM local time