Role - Senior Database Operations Engineer

Job Summary
Reporting to the Manager, Database Administration, the Senior Database Operations Engineer will provide timely and quality database design, development, maintenance, and problem resolution services for internal and external customers. They will manage highly resilient corporate and cloud database infrastructure utilized by GHX DaaS/SaaS solutions. The Sr Database Ops Engineer will work with various operational and development teams to plan, design and implement and support core database functionality that meets company initiatives with respect to performance, scalability, reliability, and adherence to operational policies and principles.

Roles and Responsibilities:

•Administration and management of GHX databases, including:Backup and recovery ,Monitoring of data database capacity and performance ,Security and data access management ,Installations, upgrades, and patching ,Fail over server management
•Safeguard the company's data, tools and information systems by adhering to Operational and Security policies and procedures throughout the lifecycle of service delivery.
•24/7 monitoring, on-call support and troubleshooting database issues, provide operational feedback to development and release teams.
• Provide guidance and assistance to junior database engineers
• Collaborate with DB platform engineers on DB version and upgrades as well as best practices

Required Qualifications

•Bachelor’s degree from an accredited college in CS or related discipline or equivalent experience
•5-8 years’ experience in Database Administration
•In depth knowledge of at least one RDBMS platform or No-SQL platform (ie MongoDB, MySQL, PostgreSQL, ElasticSearch, Redis, Oracle or SQL server) with familiarity and the ability to support additional platforms at a basic level
•Experience with hybrid and public cloud concepts
•Part of a support organization involved in implementation projects
•Proven ability to manage databases in a high transaction/high availability environment
•Experience with horizontal scaling and high availability technologies/concepts (ie Oracle RAC & Dataguard, SQL Server ‘Always On’)
•Hands-on experience with Solaris, UNIX, Linux, or Windows operating systems in a physical and/or virtual environment
•Experience with cloud hosted databases AWS preferred

Preferred Skills

•Strong critical thinking, analytical and problem-solving skills
•Interpersonal skills with a strong orientation towards customer service
•Excellent written and oral communications skills with demonstrated commitment to production of high-quality documentation
•Excellent team player with good experience working with departmental and cross functional teams

Role - Database Operations Engineer III

Job Summary Reporting to the Manager, Database Administration, the Database Operations Engineer will provide timely and quality database design, development, maintenance, and problem resolution services for internal and external customers. They will manage highly resilient corporate and cloud database infrastructure utilized by GHX DaaS/SaaS solutions. The Database Ops Engineer will work with various operational and development teams to plan, design and implement and support core database functionality that meets company initiatives with respect to performance, scalability, reliability, and adherence to operational policies and principles.

Roles and Responsibilities:

•Administration and management of GHX databases, including Backup and recovery Monitoring of data database capacity and performance Security and data access management
Installations, upgrades, and patching fail over server management
•Safeguard the company's data, tools and information systems by adhering to Operational and Security policies and procedures throughout the lifecycle of service delivery.
•24/7 monitoring, on-call support and troubleshooting database issues, provide operational feedback to development and release teams.
• Provide guidance and assistance to junior database engineers
• Collaborate with DB platform engineers on DB version and upgrades as well as best practices
Required Qualifications
•Bachelor’s degree from an accredited college in CS or related discipline or equivalent experience
•2-5 years’ experience in Database Administration
•In depth knowledge of at least one RDBMS platform or No-SQL platform DBs (ie MongoDB, MySQL, PostgreSQL, ElasticSearch, Redis, Oracle or SQL server) with familiarity and the ability to support additional platforms at a basic level
•Experience with hybrid and public cloud concepts
•Part of a support organization involved in implementation projects
•Proven ability to manage databases in a high transaction/high availability environment
•Experience with horizontal scaling and high availability technologies/concepts (ie Oracle RAC & Dataguard, SQL Server ‘Always On’)
•Hands-on experience with Solaris, UNIX, Linux, or Windows operating systems in a physical and/or virtual environment
•Experience with cloud hosted databases AWS preferred

Preferred Skills
•Strong critical thinking, analytical and problem-solving skills
•Interpersonal skills with a strong orientation towards customer service
•Excellent written and oral communications skills with demonstrated commitment to production of high-quality documentation
•Excellent team player with good experience working with departmental and cross functional teams

Role

We are looking for a Principal Site Reliability Engineer to join our Engineering team in a hybrid capacity based in Hyderabad, reporting to the Director, Site Reliability Engineering. 

You will contribute as a development engineer within our Engineering team, helping to build and enhance the world’s largest cloud security platform. You will bring your vision and passion to a team of experts enabling organizations worldwide to harness speed and agility through a cloud-first strategy.

What you’ll do (Role Expectations)

• Perform operational duties for FedRAMP cloud products, including deployments, on-call support, and incident management
• Join deployment sync calls and conduct Operations hand-offs to ensure seamless continuity
• Manage cloud infrastructure elements, including AWS GovCloud, private cloud, containers, and VMs
• Operate and enhance monitoring systems while driving automation, scripting, and Infrastructure as Code (IaC) efforts
• Write and maintain documentation, resolve escalations, prevent incident recurrence, and promote DevOps best practices

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose

What We’re Looking for (Minimum Qualifications)

• 10+ years of experience as a Site Reliability Engineer with expertise in Operations and Engineering
• Experience with FedRAMP compliance (High/Moderate levels), vulnerability management, and continuous monitoring, including scanning, patching, and reporting
• Proficiency in Linux administration, network troubleshooting, and infrastructure as code (Ansible, Terraform) in cloud environments
• Experience in large-scale distributed systems, containerized architectures (AWS ECS, Kubernetes), and cloud services, with a strong foundation in web security, networking, and coding (Python)

What Will Make You Stand Out (Preferred Qualifications)

• Experience with containerized architectures such as AWS ECS and Kubernetes
• Knowledge of web security protocols including HTTP, SSL/TLS, DNS, SQL, and networking fundamentals
• Coding experience in Python, for automation and software integration

#LI-SK3 

#LI-HYBRID

Role 

We are looking for a Senior Database Developer (PostgreSQL/MySQL/AWS Aurora, SQLite) to join our team in a Hybrid (Bangalore, Hyderabad or Mohali) capacity, reporting to the Senior Director, Software Engineering. You will design, build, and optimize high-performance database systems at planet scale, owning data modeling, complex SQL development, and cloud-native automation. This role is critical for supporting sharded, high-throughput workloads and ensuring the reliability of our global data infrastructure.

What you’ll do (Role Expectations)

• Design and evolve high-scale data models, partitioning strategies, and sharding patterns to support massive transactional and analytical workloads
• Optimize query performance and database internals across Postgres and MySQL fleets using advanced profiling tools and configuration tuning
• Lead the operation and scaling of AWS Aurora environments, including Serverless v2, Global Databases, and read replica management
• Architect and execute zero-downtime schema migrations and robust disaster recovery strategies to ensure world-class system reliability
• Standardize database observability and automation by building CI/CD pipelines for schema changes and managing infrastructure as code

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 6+ years of professional experience with relational databases, including 3+ years operating cloud databases such as AWS Aurora or RDS in production
• Expert-level proficiency in SQL, PL/pgSQL, and MySQL stored routines with a track record of optimizing systems handling thousands of TPS/QPS
• Deep technical knowledge of database internals including MVCC, WAL, vacuuming, and InnoDB locking mechanisms
• Hands-on experience with data modeling, partitioning, and infrastructure as code tools like Terraform or CloudFormation
• Advanced skills in performance diagnostics using tools like EXPLAIN ANALYZE, pg_stat_statements, and Performance Insights

What Will Make You Stand Out (Preferred Qualifications)

• Experience with streaming platforms like Kafka and managing database operations within Kubernetes environments
• Proven ability to drive cost and performance optimization for cloud databases through IOPS and storage class tuning
• Knowledge of connection management tools like PgBouncer and integration with search engines like Elasticsearch

#LI-Hybrid #LI-AN4

Role

We are looking for a Staff Software Development Engineer to join our Shared Platform Services team. This is a hybrid role based in Mohali / Hyderabad/ Bangalore/ , reporting to the Sr. Manager Software Engineering. Our Engineering team built the world's largest cloud security platform from the ground up, and we continue to scale. With more than 100 patents and extensive plans for enhancing services, our multitenant architecture has established us as the cloud security leader for over 15 million users worldwide. We invite you to bring your vision and passion to our team of architects and engineers who are enabling global organizations to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Lead the end-to-end design and development of large-scale, complex features for the Zscaler Client Connector Cloud Service, driving key technical initiatives from initial concept to final execution.
• Take full accountability for core product functionality, ensuring high performance, scalability, and seamless integration within the cloud ecosystem.
• Partner closely with Product Management, Development, and Cloud Operations teams to align on product vision and ensure a smooth, synchronized release lifecycle.
• Define robust deployment procedures and implement proactive monitoring and alerting systems to ensure the long-term stability and health of new features.
• Champion product excellence by troubleshooting critical customer issues and delivering high-quality, resilient code within a fast-paced, high-velocity environment.

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing dynamic environments as the raw material to build something meaningful.
• You act like an owner with a passion for the mission and a bias for action, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver who is energized by finding solutions to the hardest challenges, knowing that solving them delivers the biggest impact.
• You are a learner with a growth mindset who actively seeks feedback to become a better partner and a stronger teammate.
• You are driven by innovation and have a deep curiosity for how things work, always seeking a better, more secure, and scalable way to accelerate transformation.

What We’re Looking for (Minimum Qualifications)

• 5 years of hands-on experience specifically in developing web applications and microservices.
• Deep proficiency in Enterprise Java, Object-Oriented Analysis/Programming (OOA/OOP), and RESTful API architecture.
• Practical experience with RDBMS, specifically being "fluent" in SQL programming and writing Stored Procedures.
• Security Literacy: A solid understanding of Security, Authentication/Authorization, and encryption best practices.
• Experience in application development using Java, REST APIs, MySQL, and JQuery

What Will Make You Stand Out (Preferred Qualifications)

• Bachelor’s degree in Computer Science, Computer Engineering, or a strictly related discipline.
• Advanced troubleshooting and root cause analysis skills using CPU and memory profilers to identify resource exhaustion issues
• Ability to write complex MySQL queries and generate reports based on business requirements

#LI-Hybrid
#LI-VV3

Senior CDP Operations Manager 

Job Description: 

As a Senior CDP Operations Manager, you will be responsible for supporting and managing client implementations of the CDP platform. You will collaborate closely with internal and client technical teams as they design and enhance integrations and experiences, ensuring smooth execution and operational alignment.  This role also involves assisting with training, documentation, and platform enablement to help teams fully understand and leverage CDP capabilities.

Qualifications: 

• Bachelor’s degree
• 2+ years’ experience in a data operations or CDP-related role
• Ability to communicate effectively with Engineering, Solutions, Product, and Client teams
• Experience with identity resolution concepts and omnichannel data integrations
• Experience with database and data modeling across omnichannel inputs and internal systems
• Knowledge of requirements-gathering techniques and technical architectures
• Proficiency in SQL, Snowflake, BigQuery and SFTP workflows
• Strong understanding of ESPs and marketing data environments
• Knowledge of data architecture, field mappings, and transformation logic
• Experience with data privacy compliance frameworks (GDPR, CCPA) preferred

Responsibilities:

• Knowledge of how data flows, i.e., where data originates, data transformation, and end stage of data, for documentation purposes as well as research
• An understanding of database table structures, field mappings, data dictionaries
• Working with various data sources
• QC data reporting and/or data visualization dashboards
• Monitor daily data flows, ensure SLAs, and proactively identify trends or anomalies
• Analyze and/or triage data issues
• Research data issues and ensure they are escalated to higher levels if not able to see through to complete resolution
• Oversee daily execution of CDP processes, including data ingestion, transformation, and activation.
• Ensure downstream systems receive timely and accurate data.
• Clear communication of issues through JIRA as well as to Engineers and Solution Developers
• Support team as needed in evolving the platform and the monitoring strategies
• Assist where needed with the migration of data from legacy systems to new solutions
• Recommend solutions to improve, and gain efficiencies for new and existing database systems
• Help identify Platform (technology) Optimization and/or Enhancements
• Assist with answering client questions, research, and data requests
• Assist internal and client teams to design, enhance and maintain integrations and experiences within the platform
• Assist with teaching, training, and documenting platform features and usability
• Propose both technical and high-level solutions based on client requirements
• Communicate directly with clients around data issues, research questions, and new projects
• Discuss project and/or monitoring requirements with clients
• Prioritize client projects, issues, and daily data monitoring appropriately.

Company Summary:

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

Associate Solutions Consultant

Responsibilities:

• Participate in the creation and delivery of customer presentations (Pitches, QBR’s, etc.) as well as and leading the client-facing demos of the Opportunity Explorer.
• Develop effective multichannel marketing playbooks with detailed capabilities, targeting, media tactics, measurement, and other executional guidance to support account growth and new business development
• Seek to understand the Client’s business problems and be a trusted strategic advisor to internal teams by drawing upon the full scope of Zeta marketing services, strategic and analytic consulting expertise, data and technology to solve clients' core business challenges.
• Have strong working knowledge of cross-functional team across Account Management, Analytics, Traders, Pricing Team, Email Team, Legal Team, Creative Team, Addressability Team, Data Cloud Team, Supply Team, and external vendors to manage engagement and escalations specific to opportunities
• Manage, process and coordinate the on-time delivery of winning client proposals addressing advertiser campaign goals.
• Develop and utilize proposal library to institutionalize and draw on insights from previous campaigns.
• Act as a trusted product and technology expert for the sales force and Zeta clients and prospects.
• Provide guidance to sales representatives and clients into the design and successful campaigns across digital media, social networks, email, video and mobile that will perform based on advertiser objectives.
• Participate in face to face client meetings and presentations as required.
• Communicate valuable market feedback back to the rest of the organization.
• Recommend appropriate site lists, audience segments using internal and external data sources based on campaign requirements.
• Support the development of new proposal materials covering new products and solutions for sales training and client presentations.
• Maintain and improve proposal quality, business standards, processes and systems.
• Use experience with a variety of advertising categories and understanding of what data and inventory work for advertisers.
• Use understanding of online ad campaign metrics and analysis, online advertising industry trends, technologies and pricing models (CPM, CPC and CPA).
• Use strong skills in working with Excel PowerPoint, SQL, and Tableau
• Use experience with Salesforce.com (or other CRM software).
• Support global sales team and respond to customer requests such as RFIs and RFPs.

Company Summary

Zeta is a data-driven marketing technology innovator whose SaaS-based marketing cloud helps 500+ Fortune 1000 and Middle Market brands acquire, retain and grow customer relationships through actionable data, advanced analytics and machine learning.

Founded by David A. Steinberg and John Sculley (former CEO of Apple and Pepsi-Cola) in 2007, the company's highly-rated ZetaHub technology platform has been recognized in Gartner's Magic Quadrant for Digital Marketing Hubs (February 2017) and in its Magic Quadrant for Multichannel Campaign Management (April 2017), competing with offerings from Oracle, IBM, Salesforce and Adobe.

Operating on four continents with 1,300+ employees, the company is headquartered in New York City, with Centers of Excellence in Silicon Valley, Boston, London, and Hyderabad, India.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veteran’s status, or any other basis protected by law.

Recent News

Zeta Global Recognized by The Relevancy Group as Industry Leader for the 4^th Consecutive Year

Zeta Global is Recognized as a Visionary by Gartner for the First Time

Manager, Revenue & Contract Analytics

Position Overview

Zeta Global is seeking a highly analytical and detail-oriented Manager, Revenue & Contract Analytics to lead the development and operational ownership of a contract entitlement tracking and usage reconciliation framework.

This role is responsible for ensuring accurate cost assignment, margin transparency, revenue recognition support, and overage billing integrity across client contracts. The position will operationalize a structured tracking process that consolidates contractual entitlements and reconciles them against actual platform and service usage across multiple enterprise systems.

The Manager will play a critical role in building and leading a Hyderabad-based Analytics team and transitioning ownership of the process from the Cost Analysis team to a scalable, repeatable reporting function.

Key Responsibilities

• Compile and maintain a comprehensive repository of all active client contracts and Statements of Work (SOWs).
• Translate contractual entitlements into clearly defined, trackable usage metrics.
• Reconcile actual client usage against contractual entitlements on a monthly basis.
• Aggregate and reconcile usage data across Apptio, Snowflake, Salesforce (SFDC), Jira, and ZMP platform systems.
• Design and deliver client-level dashboards displaying contractual entitlements, usage trends, and projections.
• Provide executive-ready monthly reporting to Finance, Sales, and Client Success leadership.
• Manage onboarding of new contracts and removal of expired contracts from tracking.
• Partner with Operations to ensure platform instances are retired upon contract expiration.
• Establish governance processes, audit controls, and standard operating procedures.
• Support hiring, onboarding, and leadership of the Hyderabad-based Analytics team.

Required Qualifications

• Bachelor’s degree in Finance, Accounting, Business Analytics, Economics, or related field.
• 7+ years of experience in Analytics, Revenue Operations, FP&A, Financial Systems, or related discipline.
• Experience with contract-based or usage-based pricing models.
• Strong understanding of revenue recognition and margin analysis principles.
• Advanced SQL skills (Snowflake preferred).
• Experience with Salesforce and enterprise data systems.
• Expertise in dashboarding tools (Tableau, Power BI, Looker, or equivalent).
• Strong analytical, organizational, and communication skills.

Preferred

• Experience in SaaS, advertising technology, or data platform environments.
• Familiarity with Apptio or cost modeling platforms.
• Experience building or leading analytics teams.
• Knowledge of platform metering frameworks.
• Experience working in a global, cross-functional organization.

Company Summary

Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/1G/amazon-partners-with-zeta-global-to-deliver- gen- ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken- conference.html

Technical Support Specialist

Role Overview:

Global Support is committed to excellence for our customers by providing legendary service on every support case. Technical Support Specialists are responsible for answering client questions and performing basic troubleshooting of platform issues. This position requires daily client contact through inbound calls, emails and messages from our customer portal. TSS team members determine the nature of a client’s request, prioritize the case appropriately and work diligently to resolve the case efficiently while exceeding client expectations.

Role Expectations:

• Ensure a high level of service and support, across multiple channels, by providing expert advice and support in a professional and confident manner.
• Efficiently prioritize, manage and resolve individual support cases within our ticketing system based on urgency and impact.
• Proactively monitor and follow-up on owned cases to guarantee timely resolution and high customer satisfaction.
• Develop a deep understanding of customer needs in order to effectively address and resolve issues, demonstrating empathy, professionalism, and a dedication to understanding and meeting customer needs.
• Adhere to team processes and best practices for case and queue
• Maintain product proficiency by engaging in continuous learning to stay updated on technological advancements that are relevant to our products and services.
• Ensure clear, concise, and timely communication of status updates and issues are provided to customers.
• Effectively articulate and escalate issues to Technical Support Engineers, while maintaining high standards of documentation and communication.
• Communicate technical information clearly and effectively to both technical and non-technical
• Openly communicate within the team to promote collaboration and leverage collective skills and knowledge to drive results.

Required Qualifications:

• 1+ years of related support/service experience, ideally in the SaaS space or equivalent
• Bachelor’s degree in computer science or equivalent degree
• Active command of the English language required
• Basic knowledge of web technologies/tools (HTML, XML, Web Services, API, relational data, etc.)
• Basic knowledge of Linux/Unix production environments, networking and security concepts
• Basic knowledge of databases including SQL

Additional Qualifications:

• Basic knowledge of high level computer languages (C/C++, Java, Perl, Ruby, Python, AWS)
• Experience working in complex, dynamic, fast-paced
• Email marketing or digital marketing software
• Strong written and verbal communication
• Soft skills:
  • Teamwork
  • Proactivity
  • Attention to Detail

Company Summary

Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/1G/amazon-partners-with-zeta-global-to-deliver- gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken- conference.html

https://www.businesswire.com/news/home/20240G04622808/en/Zeta-Increases-3Q%E2%80%GG24-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc- 300S45353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300S38241.html

Job Description: Delivery Manager

 Role Summary:

The Delivery Manager plays a critical role in leading the operational and technical execution of Zeta’s services for assigned clients. This position is responsible for cross-functional coordination across Client Services, Data, TechOps, and Engineering teams, ensuring excellence in service delivery, campaign operations, and project execution. The Delivery Manager is expected to proactively manage resources, risks, scope, communications, and client satisfaction while upholding internal standards and driving operational efficiency.

Key Objectives:

• Ensure client deliveries are met with high quality, on time, and within scope and
• Act as a strategic liaison and escalation point for internal and external
• Continuously improving delivery processes, tool adoption, and communication
• Drive successful execution of projects, campaigns, and platform-related initiatives across the account

Essential Responsibilities

 Client Delivery Leadership

• • Lead the execution of contracted services, ensuring SLAs, KPIs, and scope commitments are met or
  • Manage service-based communications, align with Client Successon program status while owning delivery-specific
  • Take ownership of client-facing updates, project calls, and postmortems for major initiatives or

·       Project  Program Management

• Coordinate intake, scoping, and LOE documentation for all delivery-related
• Lead delivery of SOWs, change requests, onboarding, campaign migrations, and platform
• Track delivery milestones, risks, burn rates, blockers, and communicate project health
• Execute risk mitigation strategies, raise red flags for financial or resource misalignment, and ensure resource

·       Technical Issue Resolution Oversight

• Own triaging, RCA documentation if any, and client communication for all delivery-affecting issues (campaign errors, data issues, tech bugs).
• Act as the first point of contact for issue investigation across the Zeta Marketing
• Collaborate with Engineering, TechOps, and SMEs to resolve platform, campaign, and integration

·       Resource Margin Management

• Monitor resource allocation across concurrent projects and
• Track and report delivery effort budget/retainer usage to optimize client profitability.
• Collaborate with Client Success to identify and resolve delivery issues or scope misalignment early.

·       Delivery Standards Continuous Improvement

• Promote adherence to Zeta-defined delivery SOPs, documentation standards, and best
• Contribute to process improvement initiatives - from pilot to measurement - to elevate delivery quality and reduce cycle
• Lead knowledge-sharing initiatives across the Enterprise Operations
• Facilitate the execution of all internal teams to effectively deliver Zeta’s contracted services to assigned clients.

Required Skills Experience:

 Service Delivery Management

• • 3–5 years of experience in delivery, account operations, or technical project management in a Martech, agency, or enterprise SaaS
  • Proven experience with end-to-end project management methodologies, including Agile, Waterfall, and hybrid
  • Strong track record managing cross-functional teams, project planning, and risk
  • Experience leading multi-phase marketing or data projects with external

Technical Platform Knowledge

• Solid understanding of Email Marketing Platforms (EMPs) such as Zeta Marketing Platform (ZMP), Salesforce Marketing Cloud (Omni Channel Marketing such as Email, SMS, Push ), Adobe Marketo, Epsilon Harmony (Agility Harmony / PeopleCloud), Oracle Responsys, Oracle Eloqua, HubSpot Marketing Hub, Mailchimp etc.…
• Hands-on experience in managing the full campaign lifecycle: intake, planning, creative briefing, setup, QA, approval, deployment, monitoring, and post-campaign
• Proficiency with HTML/CSS for emails, AMPscript, Liquid, or personalization scripting in modern
• Familiarity with Webhook/API integrations for real-time or trigger-based marketing use
• Knowledge on basic SQL skills
• Understanding of Email KPIs such as Open Rate, Click-through Rate (CTR), Bounce Rate, Unsubscribes, and Deliverability; experience in A/B testing strategies and multivariate
• Experience using Dynamic Content and Personalization blocks to improve customer engagement and message
• Exposure to Audience Segmentation and List Management, including complex criteria-based segmentation and exclusion
• Knowledge of Inbox Placement, Spam Testing, and tools like Litmus or Email on Acid to validate rendering and deliverability across devices and email
• Comfortable using reporting and analytics dashboards (e.g., native ESP dashboards, Google Analytics integrations, or third-party attribution platforms) to track and optimize email
• Awareness of data privacy laws and best practices in email compliance (CAN-SPAM, GDPR).

Tool Proficiency

• Project Management: JIRA, Smartsheet, Confluence or
• Collaboration: SharePoint, Microsoft Teams, Slack, Data C QA: SQL, Excel (pivot tables, lookups), BI tools (Tableau, Power BI – a plus). Documentation C Reporting: Google Suite, MS Office (Word, PowerPoint, Excel).

Soft Skills  Communication

• Excellent verbal and written communication; able to simplify complex topics for non-technical
• Ability to work in a client time
• Strong client management and stakeholder coordination
• Detail-oriented, self-motivated, and proactive problem-solver.
• Comfortable working under tight deadlines and across time
• Adaptable and growth-oriented; thrives in dynamic and fast-paced

Company Summary:

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans’ status, or any other basis protected by law.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/0c/1S/amazon-partners-with-zeta-global-to-deliver-gen- ai-marketing-automation/

https://www.cnbc.com/video/2024/05/0c/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken- conference.html

https://www.businesswire.com/news/home/20240S04c22808/en/Zeta-Increases-3Ǫ24-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc- 300S45353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and- cross-channel-campaign-management-reports-by-independent-research-firm-300S38241.html

CDP ETL & Database Engineer

The CDP ETL & Database Engineer will specialize in architecting, designing, and implementing solutions that are sustainable and scalable. The ideal candidate will understand CRM methodologies, with an analytical mindset, and a background in relational modeling in a Hybrid architecture.The candidate will help drive the business towards specific technical initiatives and will work closely with the Solutions Management, Delivery, and Product Engineering teams. The candidate will join a team of developers across the US, India & Costa Rica.

Responsibilities:

• ETL Development – The CDP ETL C Database Engineer will be responsible for building pipelines to feed downstream data They will be able to analyze data, interpret business requirements, and establish relationships between data sets. The ideal candidate will be familiar with different encoding formats and file layouts such as JSON and XML.
• Implementations s Onboarding – Will work with the team to onboard new clients onto the ZMP/CDP+ The candidate will solidify business requirements, perform ETL file validation, establish users, perform complex aggregations, and syndicate data across platforms. The hands-on engineer will take a test-driven approach towards development and will be able to document processes and workflows.
• Incremental Change Requests– The CDP ETL C Database Engineer will be responsible for analyzing change requests and determining the best approach towards implementation and execution of the This requires the engineer to have a deep understanding of the platform's overall architecture. Change requests will be implemented and tested in a development environment to ensure their introduction will not negatively impact downstream processes.
• Change Data Management – The candidate will adhere to change data management procedures and actively participate in CAB meetings where change requests will be presented and Prior to introducing change, the engineer will ensure that processes are running in a development environment. The engineer will be asked to do peer-to-peer code reviews and solution reviews before production code deployment.
• Collaboration s Process Improvement – The engineer will be asked to participate in knowledge share sessions where they will engage with peers, discuss solutions, best practices, overall approach, and The candidate will be able to look for opportunities to streamline processes with an eye towards building a repeatable model to reduce implementation duration.

Job Requirements:

• The CDP ETL & Database Engineer will be well versed in the following areas:
  • Relational data modeling.
  • ETL and FTP concepts.
  • Advanced Analytics using SQL Functions.
  • Cloud technologies - AWS, Snowflake.
• Able to decipher requirements, provide recommendations, and implement solutions within predefined.
• The ability to work independently, but at the same time, the individual will be called upon to contribute in a team setting.
• The engineer will be able to confidently communicate status, raise exceptions, and voice concerns to their direct manager.
• Participate in internal client project status meetings with the Solution/Delivery management.
• When required, collaborate with the Business Solutions Analyst (BSA) to solidify.
• Ability to work in a fast paced, agile environment; the individual will be able to work with a sense of urgency when escalated issues arise.
• Strong communication and interpersonal skills, ability to multitask and prioritize workload based on client demand.
• Familiarity with Jira for workflow , and time allocation.
• Familiarity with Scrum framework, backlog, planning, sprints, story points, retrospectives.

Required Skills: 

• ETL – ETL tools such as
  • Talend (Preferred, not required)
  • DMExpress – Nice to have
  • Informatica – Nice to have
• Database - Hands on experience with the following database Technologies
  • Snowflake (Required)
  • MYSQL/PostgreSQL – Nice to have
  • Familiar with NOSQL DB methodologies (Nice to have)
• Programming Languages – Can demonstrate knowledge of any of the
  • PLSQL
  • JavaScript Strong Plus
  • Python - Strong Plus
  • Scala - Nice to have
• AWS – Knowledge of the following AWS services:
  • S3
  • EMR (Concepts)
  • EC2 (Concepts)
  • Systems Manager / Parameter Store
• Understands JSON Data structures, key value
• Working knowledge of Code Repositories such as GIT, Win CVS,
• Workflow management tools such as Apache Airflow, Kafka, Automic/Appworx
• Jira

Minimum Qualifications: 

• Bachelor's degree or equivalent.
• 4+ Years' experience.
• Excellent verbal C written communications skills.
• Self-Starter, highly motivated.
• Analytical mindset.

Company Summary:

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+

identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/1G/amazon-partners-with-zeta-global-to-deliver- gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken- conference.html

https://www.businesswire.com/news/home/20240G04622808/en/Zeta-Increases-3Q%E2%80%GG24-

Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc- 300S45353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-   cross-channel-campaign-management-reports-by-independent-research-firm-300S38241.html

As our  RPA Automation Manager you will be required to: 

Automation Delivery & Technical Leadership

• Own and manage the end-to-end RPA lifecycle: process discovery, solution design, development, testing, deployment, monitoring, and optimization.
• Design and oversee enterprise-grade automations using UiPath (Cloud & Desktop) and Power Automate.
• Ensure solutions meet enterprise standards for security, performance, scalability, resiliency, and auditability.
• Lead complex automations involving API integrations (REST/SOAP), databases, and cross-system workflows.
• Troubleshoot and resolve production issues, conduct root cause analysis, and drive continuous improvement.

Team Leadership & Mentorship

• Lead, mentor, and guide a team of RPA Developers, Senior Developers, and RPA Ops Engineers.
• Review solution designs, code quality, and adherence to best practices (e.g., REFramework).
• Support hiring, onboarding, upskilling, and performance management of RPA team members.
• Promote a culture of quality, ownership, and continuous learning.

Stakeholder & Business Partnership

• Act as the primary point of contact for business stakeholders on all RPA initiatives.
• Translate business requirements into scalable automation solutions with clear ROI.
• Partner with IT, DevOps, Infrastructure, and Architecture teams for deployments and environment stability.
• Support prioritization, capacity planning, and delivery commitments across multiple initiatives

Governance & Operational Excellence

• Define and enforce RPA standards, frameworks, and development guidelines.
• Maintain strong documentation practices, including process maps, design documents, runbooks, and support guides.
• Monitor bot health, uptime, and operational KPIs to ensure reliable production performance.
• Contribute to or collaborate with the RPA / Automation Center of Excellence (CoE).

To apply for this role, you should possess the following skills, experience and qualifications: 

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 8–12 years of overall experience, with 5+ years in RPA
• Strong hands-on expertise in UiPath (Studio, Orchestrator, enterprise deployment models).
• Prior experience in a technical manager role within RPA or Intelligent Automation.
• Understanding and Experience in “Agentic AI” in automation is desirable.
• Solid experience with:

• • REFramework and reusable automation patterns
  • API integrations and authentication mechanisms
  • Databases and SQL fundamentals
  • Version control systems (Git or equivalent)
  • RPA lifecycle management and exception handling

Senior DevSecOps Engineer

Position Summary

The Senior DevSecOps Engineer will be embedded within product engineering teams to implement and maintain secure, automated, and reliable delivery pipelines while following standards, frameworks, and guardrails set by the DevSecOps Center of Excellence (CoE).

This is a hands-on role that reports to the Manager of DevSecOps and works directly with developers, SREs, and product managers to enable faster, safer deployments, cost-efficient infrastructure, and adherence to enterprise security policies. The engineer will collaborate closely with Principal and Senior Staff DevSecOps engineers for technical guidance and mentoring while operating within the centralized DevSecOps leadership framework.

Key Responsibilities

Product Line DevSecOps Execution

· Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for the assigned product line.

· Integrate security testing (SAST, SCA, DAST, container scanning) into build and deployment workflows.

· Apply CoE standards, templates, and automation frameworks consistently within product environments.

· Troubleshoot and resolve DevSecOps issues, escalating complex challenges to Staff/Principal engineers.

Infrastructure & Automation

· Implement Infrastructure-as-Code (Terraform, CloudFormation) for product infrastructure.

· Adopt GitOps practices for repeatable and auditable infra provisioning.

· Ensure infrastructure deployments comply with security guardrails, tagging, and cost controls.

Observability, Security & Compliance

· Collaborate with SREs to enable monitoring, logging, and observability (Prometheus, Grafana, OpenTelemetry, New Relic, CloudWatch).

· Ensure pipelines and infrastructure comply with HIPAA, SOC2, and internal security standards.

· Embed IAM, KMS, GuardDuty, Security Hub into workflows for cloud security posture.

FinOps & Cost Awareness

· Implement CoE-defined cost governance practices in product pipelines.

· Ensure workloads are tagged, right-sized, and cost-efficient.

· Provide cost visibility to product teams and support FinOps reviews.

Collaboration & Continuous Improvement

· Work closely with developers, QA, SRE, and product managers to support secure and efficient delivery.

· Participate in CoE knowledge-sharing sessions, playbooks, and Communities of Practice.

· Contribute feedback from product teams back into the CoE to improve standards and frameworks.

· Continuously learn from Staff and Principal engineers and apply best practices within the product line.

Qualifications & Experience Required

· 8+ years in DevOps, Cloud, or Security Engineering.

· Strong hands-on experience with CI/CD pipeline tools (GitHub Actions, GitLab CI, Jenkins, ArgoCD).

· Proficiency in AWS services (EKS, ECS, EC2, S3, IAM, Security Hub, GuardDuty).

· Hands-on with containers & Kubernetes (Docker, EKS).

· Experience with Infrastructure-as-Code (Terraform, Pulumi, CloudFormation).

· Familiarity with observability platforms (Prometheus, Grafana, OpenTelemetry, New Relic, CloudWatch).

· Programming/scripting in Python, Go, or shell scripting.

· Strong collaboration skills in cross-functional product teams.

Preferred

· Experience in SaaS or healthcare software environments.

· Knowledge of databases (MongoDB, Elasticsearch, SQL).

· Familiarity with compliance frameworks (HIPAA, SOC2, ISO 27001).

· Certifications: AWS Security Specialty, CKA/CKAD, FinOps Certified Practitioner

Job Summary:

We are seeking a highly skilled, customer-focused Customer Support Analyst (CSA) – Level 3 to provide advanced technical and functional support for our applications. This role serves as the final escalation point for complex issues and requires extensive research across multiple applications to diagnose, consolidate, and resolve customer-reported problems effectively. The ideal candidate will combine deep technical and functional troubleshooting with strong analytical thinking, enabling them to identify root causes, implement solutions, and drive continuous improvement in system performance and customer experience.

We are looking for a dedicated customer support analyst to join our team and provide customer support, technical and functional assistance, ensure application performance, and support users of our on-premises and AWS-hosted software products. The role involves troubleshooting, configuring systems, monitoring systems, and collaborating with cross-functional teams to resolve issues efficiently. Also, create KB articles, document process flow and user training.

Key Responsibilities: 

1. Advanced Technical Troubleshooting & Resolution

• Act as the primary escalation point (L3) for complex application, invoice, payment, and user access-related issues
• Conduct in-depth research across multiple applications and systems to identify, correlate, and resolve issues
• Analyze logs, alerts, configurations, and system behavior to troubleshoot problems efficiently
• Provide end-to-end ownership from issue identification to resolution and customer confirmation

1. Multi-Application Analysis & Problem Solving

• Investigate issues spanning multiple integrated applications, consolidating findings to determine root causes
• Diagnose issues related to data flow, integrations, performance, and configurations
• Apply structured troubleshooting methodologies to resolve cross-system dependencies

1. Incident & Escalation Management

• Ensure timely resolution of support tickets, emails, and calls while adhering to defined SLAs
• Proactively monitor alerts and logs to identify and mitigate potential issues before impact
• Escalate issues appropriately with clear documentation and impact analysis

1. Cross-Functional Collaboration

• Collaborate closely with Engineering, Product, Infrastructure, and other internal teams to resolve defects and performance issues
• Translate customer-reported issues into clear technical insights and actionable inputs for internal teams
• Participate in incident reviews and resolution planning

1. Root Cause Analysis & Continuous Improvement

• Perform detailed Root Cause Analysis (RCA) for recurring and high-impact issues
• Identify trends and recommend preventive measures and system improvements
• Contribute to improving system stability and reducing ticket volumes

1. Knowledge Management & Documentation

• Create and maintain knowledge base (KB) articles, troubleshooting guides, and runbooks
• Document process flows, configurations, and standard operating procedures (SOPs)
• Develop and deliver training materials and user guidance for both internal teams and customers

1. Customer Experience & Communication

• Provide clear, structured, and professional communication to customers
• Guide users through troubleshooting steps and ensure a high level of customer satisfaction
• Manage critical customer interactions with ownership and accountability

Qualifications:

• Bachelor's/master’s in engineering or relevant qualification.
• Minimum 4-10 years of experience in application support.

Knowledge, Skills, and Abilities:

• Strong communication and interpersonal skills for customer interaction.
• Analytical and problem-solving mindset.
• Ability to work in a fast-paced, collaborative environment.
• Browser Support - Internet Explorer/Google Chrome etc.
• Strong computer knowledge and troubleshooting skills.
• Excellent oral and written communication skills
• Neutral accent
• Should be confident & aggressive.
• Candidate with prior application support experience is preferred.
• Working knowledge of SQL Databases, IIS Setup & basic network configuration.
• Working Knowledge of IT Hardware and Software.
• Ability to learn and master employer-specific software.
• Complex problem solving.
• Ability to diagnose & address application issues.

Job Summary

We are seeking an Application Support Engineer II to join our 24x7 Follow the Sun support team. You will be the front line for alert response and resolution, collaborating with cross-functional teams to identify and resolve technical issues, alerts, and cases. Effective communication with customers and stakeholders is essential, as you will need to relay status updates and escalate issues as necessary. The role demands excellent troubleshooting and problem-solving skills. Hybrid work options may be available, offering flexibility while maintaining round-the-clock support.

Essential Duties and Responsibilities

• Work Customer issues in assigned SalesForce queue by troubleshooting application issues, and closing the loop with all parties involved.
• Contribute to the definition and management of application layer technology standards and processes including but not limited to: software version, configuration management, load balancing, database connectivity, and release/maintenance management.
• Monitoring tool administration (ProActiveNet, AlertSite, datadog, cloudwatch, PRTG, PagerDuty, graylog, Kibana, custom scripts).
• Support new customer implementations and the transitions from lower environments to production support.
• Respond to technical application questions and issues raised by customers in support of our Operating Level agreements. Handle escalations using a swarming methodology.  Available in Hip Chat and Skype rooms during business hours.
• Respond to off hour’s pages and escalations.
• Participates in maintenance, performance testing, operations acceptance testing (OAT) and / or release activities as required.
• Administer assigned JIRA ticket queues and follow up with appropriate parties. Regularly, clearly and effectively communicate pertinent information to team members, management and customers according to Support service level standards.
• Provide feedback to product and development teams to improve usability and functionality of GHX applications. 
• Adopt and participate in Knowledge Centered Support (KCS) by creating and modifying articles in SalesForce.  Articles should be sufficient to resolve cases and major service disruptions.
• Other duties as assigned

Qualifications

• 2+ years of Application Support or related experience.
• Must be able to work from own initiative, learn quickly, and function effectively with team members in a high pressure and dynamic environment.
• Must demonstrate effective listening, verbal and written communication skills.
• Unix or Windows application production/customer support experience.     
• Customer-focused attitude.
• Experience with task automation.
• Experience with environment monitoring tools (Cloudwatch/Datadog/PagerDuty/etc...).
• Amazon Web Services (AWS) or cloud based architecture support experience.
• Ability to understand and work with complex enterprise application environments.
• Strong attention to detail and ability to follow established procedures.
• Familiarity with ITIL or MOF Change Management concepts (desired)
• Familiarity with Oracle/SQL Server and RDBMS concepts (desired)

Technical Skills (must have experience with a subset of the following):

• Windows and/or Unix OS proficiency
• AWS – Amazon Web Services
• Python, Perl, Unix and/or Windows scripting experience
• JBoss Application Server
• JSON and restful API experience
• Apache Tomcat
• IIS Application Server
• Understanding of OSI Model
• JVM monitoring tools (jvmstat, etc.)
• Network monitoring (snoop, NetMon)
• EDI (ANSI/X12), and XML knowledge
• HTTPS, AS2, SFTP protocols
• MySQL, MongoDB, DynamoDB, MSSQL, Oracle

Education / Certification(s)

• 4-year degree in computer science or related field or equivalent experience (required)

Job Summary:

The Operations Analyst II is responsible for the implementation project delivery that encompasses project delivery, integration, utilization, and product education.  Implementation Operations is a technical team responsible for product configuration (mainly for Vendormate Credentialing), email campaigns, and reporting that support implementation and increase product utilization.  The team seeks a motivated, dependable, and detail-oriented professional who thrives in a fast-paced and evolving work environment. The Operations Analyst II executes various work requests for implementation and customer maintenance, recurring responsibilities, and special projects.  

Duties and Responsibilities

• Lead and coordinate data collection, analyze, and assimilate data into a format easily understood by end users. You will apply proven communication, analytical, and problem-solving skills to help maximize the company’s revenue 
• Gather, analyze, and assimilate data into a format for internal users. This will encompass conducting QA efforts to ensure work is being completed accurately and in a timely manner for utmost customer satisfaction.
• Complete work requests and, from time to time, review the work of other Analysts for product configuration, email campaigns, and reporting 
• Demonstrate initiative by taking a proactive approach to seek and provide feedback on people, process improvement, and product. 
• Maintain internal customer satisfaction scores of 95% or greater across all teams supported 
• Solid technical skills with developing knowledge of GHX’s suite of products, beginning with Vendormate Credentialing, which is a provider product line that enables hospitals to manage their vendors’ regulatory compliance and onsite access 
• Behaviour that exhibits the GHX core values of Collaborate, Innovate, Inspire, and Grow 
• Other recurring responsibilities and special projects, as assigned 

Required Qualifications: 

• Bachelor’s degree in technical, business, or management discipline + 3 years relevant experience
• Expert in Microsoft Office, particularly Excel 
• 1+ years of data analysis experience 
• Team-oriented person with intense focus on problem-solving, attention to detail, quality, and customer service 
• Embrace change with positive intent and work collaboratively to improve processes 
• Ability to multitask while completing work requests, projects, and recurring responsibilities 
• Aptitude for manipulating, analyzing, and displaying data  
• Capability to follow established processes and contribute to process improvement 
• Proficiency in planning, prioritizing, and executing tasks  
• Effective written and verbal communication with customers, peers, and management 

Preferred Qualifications: 

• 1+ years of relevant business experience 
• Database experience (MS Access, MS Excel, SQL or related) 
• Basic understanding of computer programming  
• Experience with Salesforce.com, MailChimp, Jasper, and Tableau 

Site Reliability Engineer (SRE)

Position Summary

The Site Reliability Engineer (SRE) will be a hands-on contributor within the Site Reliability Engineering Center of Excellence (CoE), responsible for building monitoring and observability solutions, troubleshooting production issues, and participating in 24x7 on-call operations.

This role focuses on the execution of reliability practices, implementing observability tooling, improving MTTR/MTTD through automation, and ensuring production systems are resilient, observable, and performant. The SRE will collaborate closely with Principal and Senior Staff SREs, adopting best practices and frameworks defined by the CoE while directly contributing to enterprise reliability goals. This role reports to the Sr. Manager, SRE.

Key Responsibilities

Execution & CoE Alignment

· Implement SRE frameworks, best practices, and playbooks provided by the CoE.

· Act as a hands-on engineer, contributing to observability, reliability, and incident response initiatives.

· Partner with senior SREs and leadership to maintain consistency in monitoring and incident processes.

· Contribute to automation projects that improve reliability and reduce manual work.

Observability & Monitoring

· Build and maintain monitoring solutions with New Relic, Datadog, Prometheus, Grafana, CloudWatch, OpenTelemetry, Graylog.

· Create and refine dashboards, metrics, and alerts for proactive anomaly detection.

· Extend observability coverage across infrastructure, applications, APIs, and databases.

Reliability Engineering & Automation

· Implement SLIs, SLOs, SLAs, and error budgets in partnership with product and platform teams.

· Contribute to reducing MTTD and MTTR through improved instrumentation and automation.

· Participate in capacity planning, resiliency testing, and scaling reviews.

· Support chaos engineering and reliability validation activities.

Incident & Problem Management

· Participate in incident response, including on-call rotations for 24x7 coverage.

· Assist with root cause analysis (RCA) and implement corrective actions.

· Ensure alignment with ITSM processes for incident, problem, and change management.

· Contribute to playbooks and runbooks to strengthen on-call readiness.

Collaboration & Knowledge Sharing

· Collaborate with Engineering, Product, Security, Cloud, and DevSecOps teams to embed reliability practices.

· Provide input on instrumentation, monitoring hooks, and operational readiness for services.

· Work with DBAs and platform teams on database observability and performance optimization.

· Share knowledge within the SRE team and adopt practices from Staff and Principal SREs.

Qualifications & Experience

Required

· 7+ years in SRE, Operations, or Infrastructure Engineering.

· Strong hands-on experience with monitoring and observability platforms.

· Experience with tools such as New Relic, Datadog, Prometheus, Grafana, CloudWatch, OpenTelemetry, Graylog.

· Proven experience in incident response, troubleshooting production issues, and improving MTTR/MTTD.

· Good knowledge of SLIs, SLOs, SLAs, and error budgets.

· Hands-on experience with AWS services (EC2, ECS, EKS, networking, scaling groups).

· Proficiency in containers & Kubernetes (Docker, EKS).

· Scripting/programming in Python, Go, or shell scripting.

· Understanding of networking, distributed systems, and high-availability architectures.

· Exposure to ITIL/ITSM processes.

Preferred

· Experience in SaaS or healthcare environments.

· Knowledge of databases (MongoDB, Elasticsearch, SQL Server, Oracle).

· Familiarity with chaos engineering and resiliency testing.

· Certifications: AWS Solutions Architect / DevOps Engineer, CKA/CKA

Job Summary

We are seeking a Business Insights Analyst based in India (aligned to US Eastern hours) to join the Strategic Growth team. This individual will play a critical role in delivering data-driven insights, executive-ready reporting, and performance analytics that help Product Operations and cross-functional teams optimize operations, elevate the customer experience, and drive measurable value.
This position will focus on reporting and analytics (especially Sigma), KPI development, and operational performance tracking. This role partners closely with the Sr. Manager of Strategic Growth to enable data-backed decision-making, highlight risks and opportunities, and translate analytics into actionable strategies.

Key Responsibilities
Reporting & Analytics

• Data Management: Gather, cleanse, and validate data from ERP, CRM, and operational systems to ensure data accuracy and reliability.
• Executive Reporting: Build and maintain dashboards and reports in Sigma, SalesForce, Kibana, and Excel to track business performance, highlight risks, and enable decision-making.
• Insights & Trends: Apply descriptive and inferential statistical analysis to identify performance drivers, customer trends, and improvement opportunities.
• KPI Development: Define and monitor key operational and customer value metrics to track progress against strategic objectives.

Customer Value Enablement Support

• Voice of the Customer: Translate operational data into insights that reflect customer impact and support strategic prioritization.
• Cross-Functional Alignment: Provide analytics and reporting that help drive accountability and alignment across Customer Care, and Managed Services.

Qualifications

• Education: Bachelor’s degree in business, Data Science, Engineering, or a related field (MBA preferred but not required).

Experience:

• 5+ years of experience as a Business Analyst / Data Analyst in supply chain, healthcare, or a related industry.
• Proven track record in reporting, dashboard development (preferably in Sigma), and KPI design.
• Experience supporting executive-level reporting and operational performance reviews.
• Prior exposure to automation analytics is a plus.
• Technical Skills:
• BI & Data Visualization: Strong skills in Sigma (preferred), Power BI, or Tableau.
• SQL & Data Querying: Ability to extract, manipulate, and analyze large datasets.
• Excel Expertise: Advanced formulas, pivoting, and reporting.

Soft Skills:

• Strong communication and storytelling skills to translate data into executive-ready insights.
• Analytical problem-solver with a continuous improvement mindset.
• Ability to operate effectively in a global, matrixed organization with minimal supervision.

Knowledge, Skills, and Abilities

• Customer-Centric Mindset: Always connecting analytics to customer value and business outcomes.
• Innovative Thinking: Ability to simplify complex data into clear recommendations.
• Continuous Learning: Commitment to staying current on emerging technologies and best practices.
• Leadership & Independence: Operates autonomously with minimal supervision while keeping stakeholders well-informed.
• Certifications: CBIP, Lean Six Sigma, or other analytics/process certifications are a plus.

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

Truveta was born in the Pacific Northwest in the USA and has employees who live across the country. As we expand our global footprint with a new presence in Hyderabad, India, we’re building a world-class team to help us scale this mission and Clinical Intelligence and AI Evaluation is at the heart of everything we do. This job requires daily onsite work at our headquarters in Hyderabad, India.

Who We Need

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.

This Opportunity

This Clinical Data Analyst position is a high impact, intellectually challenging role that requires a diverse set of analytical and technical skills. It provides unique opportunities for growth using an unprecedented amount of high-quality real-word Electronic Health Record (EHR) data and clinical notes data and become a nexus of healthcare and technology. You will be solving meaningful and consequential problems in healthcare using an EHR and clinical notes database of 120 million US patients (and growing!) and help drive insights that can ultimately improve and impact on patient care. This position will report to our Director of Clinical Intelligence and AI Evaluation team and support end-to-end evaluation, extraction, execution and delivery of custom concepts from clinical notes and EHR data to help our customers dive deeply into complex research questions related to human health and generate data-driven insights that support impactful scientific decisions.

Responsibilities

· Use technical skills to scope out clinical informatics data analyses requests from both internal and external customers, produce studies and results within an agreed deadline.

· Communicate on the status of various projects and collaborate with multidisciplinary stakeholders to ensure that clinical data projects are successfully executed and delivered.

· Excel in providing technical analytics support as well as directly working with internal stakeholders to troubleshoot any data analyses. Work with customers to achieve their goals, teaching them how to wrangle and analyze data using SQL, R and Python on real-world data to address their empirical questions.

· Write Databricks SQL queries to extract, analyze and interpret clinical concepts from clinical notes per customer requests.

· Create dashboards, data visualizations, and data tools to support data-driven decision making.

· Create enablement materials and studies as the Truveta platform evolves to help new researchers to increase our capabilities.

· Collaborate closely with other Truveta teams to conduct investigations of data sources to demonstrate veracity to current internal and external customers.

· Deliver feedback to internal teams based on customer requests to inform Truveta’s product roadmap.

Required Skills

· Graduate or Masters level educational degree in clinical research, data analysis, data science, clinical informatics, health information management or related fields.

· 3+ years of demonstrated experience conducting analyses using large healthcare datasets (e.g., electronic health records, clinical notes or other real-world data sources consisting of millions of patients' data.).

· 3+ years of demonstrated experience working with customers or research teams to translate their asks into executable analytical code, rigorous quality analytical datasets, deliver high quality research analyses.

· Strong proficiency in SQL, at least one statistical programming language (R or Python), familiar with Spark bigdata analytics environments, for data wrangling, analysis, and reproducible research workflows.

· Strong hands-on problem-solving skills, troubleshoot and identify data or methodological issues early and communicate them effectively. Have ownership, accountability and reliability mindset.

· Excellent written and verbal communication skills, including the ability to clearly explain analytical approaches and findings to technical and non-technical stakeholders.

· Ability to learn and adapt quickly in a dynamic start-up environment and a good team-player.

· Willingness to learn new analytical tools, programming languages, and proprietary platforms used to analyze real-world data.

Preferred Qualifications

These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don’t already have experience with them.

· Spark/PySpark, Databricks experience

· Experience working with unstructured clinical data or natural language processing outputs

· Regex query writing experience

· Experience building cohort definitions or eligibility criteria for research studies

Why Truveta? 

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. We are expanding our global footprint. Join us as we build an amazing company together.

We Offer:

· Interesting and meaningful work for every career stage

· Great benefits package

· Comprehensive benefits with strong medical, dental and vision insurance plans

· Professional development & training opportunities for continuous learning

· Work/life autonomy via flexible work hours and flexible paid time off

· Generous parental leave

· Regular team activities (virtual and in-person as soon as we are able)

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude people from some sections, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements

Job Title: Finance SME

Opportunity Overview:

We are seeking a Technical, Hands-on Manager to lead a team in building AI-driven healthcare enterprise applications. In this role, you will combine strong people leadership with deep technical expertise to guide the development of scalable, data-intensive solutions that drive meaningful business impact.

As a leader who is still technically involved, you will mentor and manage data scientists and analysts while having the ability to guide the team through evaluating, selecting, and implementing the right models, paired with an understanding of end to end workflow and ensure the delivery of scalable AI solutions. 

This position requires excellent communication and collaboration skills as you partner closely with internal stakeholders and cross‑functional engineering, product, and clinical teams. In our fast-paced environment, adaptability is key—your ability to reprioritize quickly and lead your team through evolving business needs will ensure maximum impact

What you’ll do:

• Lead, mentor, and develop a high‑performing team of Data Scientists and ML Engineers, ensuring strong execution and continuous skill advancement.
• Contribute to event‑driven architecture design and implementation, enabling asynchronous processing and large‑scale system integration.
• Work seamlessly across functions—partnering with Data Scientists on model tuning, experimentation, and prompt design; collaborating with Product and Software Engineering to embed AI/ML into user-facing applications; engaging with DevOps/Platform Engineering on environment setup, CI/CD, monitoring, and reliability; and working with Data Engineering on pipeline design and ingestion strategies.
• Provide technical leadership in the effective use of AWS services such as Lambda, EC2, EMR, S3, Athena, Batch, Textract, Comprehend, Bedrock.
• Drive the implementation of project scope definition, effort estimation, and planning in close coordination with cross-functional teams.
• Conduct code reviews, provide architectural direction, and champion SDLC best practices, while balancing leadership responsibilities with hands‑on technical contributions to ensure timely, high‑quality delivery.

Required Qualifications:

• 7+ years of overall professional experience delivering data-driven AI/ML-focused solutions. 3+ years of direct team management experience, leading Data Scientists, ML Engineers, or similar technical roles.
• Hands-on experience in Python with strong proficiency in libraries such as Pandas, NumPy, SciPy, Matplotlib, and regular expressions. Advanced SQL querying and optimization for large datasets.
• Practical experience in training, tuning, and testing ML algorithms (e.g., SVM, CART, Bagging, Boosting) and text mining techniques; familiarity with modern ML/DL approaches.
• Experience with prompt engineering and leveraging GenAI for classification, data enrichment, semantic embeddings, and innovative AI-driven solutions.
• Experiment and rapidly prototype design frameworks, validate hypotheses efficiently, and iterate on AI/ML models to support fast-paced development.
• Strong knowledge of Object-Oriented Programming (OOP) and experience creating custom Python packages for serverless applications.
• Hands-on experience with AWS services including Lambda, EC2, EMR, S3, Athena, Batch, Textract, and Comprehend.
• Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to align technical decisions with business goals, ensuring smooth integration of AI/ML capabilities into production systems
• Excellent communication and storytelling skills, capable of translating complex AI/ML concepts into clear, actionable insights for leadership, stakeholders, and non-technical partners.
• Ownership mindset with end‑to‑end accountability, ensuring delivery from concept to deployment to monitoring—while continuously identifying risks, blockers, and opportunities for improvement.

Good to have:

• Background in healthcare payment integrity, clinical data workflows, or payer/provider analytics.
• Strong thought leadership in AI/ML, including guiding stakeholders on feasibility, risk, architecture, and adoption strategy.
• Prior experience in deploying LLM‑powered production features,optimize prompting strategies, transforming experimental prototypes into robust, scalable services delivered through well‑defined APIs.
• Familiarity with compliance, governance, and security best practices for healthcare data (HIPAA, PHI handling, logging, auditing).

Ability to commute/relocate:

• Nacharam, Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with the Hiring Manager for a Preliminary Phone Screening
2. Behavioral Interview(s)
3. Case Study
4. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Job Title: Data Analyst

 About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Number of Positions: 2

Job Location: Pune, Hyderabad, Bangalore

Data Analyst, Python, SQL, Data Remediation

Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care. Today, Truveta enables research on more than 130 million de-identified patients across the US.  

Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values. 

Role Overview

We are hiring a Prompt Engineer with a strong clinical informatics background to build and optimize AI prompts for healthcare and clinical data applications. This role requires hands-on clinical understanding, experience working with real clinical data, experience writing prompts for AI models, and the ability to align LLM prompts with underlying clinical data models.

You will work closely with clinicians, data engineers, and AI teams to translate clinical questions and workflows into accurate, safe, and scalable AI interactions.

Key Responsibilities

• Design, test, and optimize prompts for LLM-based clinical use cases such as:
• Cohort identification
• Clinical question answering
• Concept extraction
• Clinical code mapping
• Translate clinical requirements into structured prompts aligned with clinical data schemas
• Collaborate with data engineers to understand how diagnoses, labs, medications, encounters, and outcomes are modeled
• Evaluate AI outputs for clinical accuracy, relevance, bias, and safety
• Apply healthcare data standards (FHIR, SNOMED CT, LOINC, RxNorm, ICD-10-CM) within prompt logic and validation
• Create prompt evaluation criteria and quality benchmarks
• Document reusable prompt patterns and best practices
• Continuously improve prompts based on model behavior and user feedback.

Required Qualifications

• 2–5 years of experience in clinical informatics, healthcare analytics, or health IT
• Clinical background required, such as:
• Nursing, pharmacy, medicine, public health, or clinical informatics
• OR hands-on experience working with clinical workflows or EHR data
• Strong understanding of clinical data modeling, including representation of:
• Diagnoses, procedures, medications
• Laboratory results and vitals
• Encounters and outcomes
• Practical experience with healthcare data standards:
• FHIR
• SNOMED CT
• LOINC
• RxNorm
• ICD-10-CM
• Hands-on experience with LLMs and prompt engineering for applied or production use cases
• Ability to critically evaluate AI outputs for correctness and clinical safety
• Strong analytical, documentation, and communication skills

Preferred

• Experience with clinical NLP or unstructured clinical text
• Familiarity with EHR systems or clinical data repositories
• Working knowledge of Python for prompt testing or evaluation
• Working knowledge of SQL for exploring clinical datasets
• Experience combining structured and unstructured healthcare data
• Prior work on healthcare AI, decision support, or analytics platforms

Opportunity Overview:

We are looking for a Data Engineer to build and optimize scalable data pipelines and analytical datasets on our AWS-based lakehouse platform.

• You will work with Apache Iceberg, AWS Glue, Athena, dbt, and Airflow to support reliable and efficient data processing for analytics and operational use cases.
• You will collaborate with senior engineers, analytics teams, and platform stakeholders to deliver production-grade data solutions.

What you’ll do:

• Develop and maintain batch data pipelines
• Build reusable ingestion and transformation workflows
• Build and maintain Apache Iceberg datasets
• Support schema evolution and partition optimization
• Optimize Athena queries and troubleshoot performance bottlenecks
• Implement data validation checks and monitoring
• Support production issue troubleshooting

Required Qualifications:

• 4–5 years of experience in data engineering
• Strong hands-on experience with Python, SQL, PySpark/Spark
• Experience with AWS S3, Glue, Athena
• Experience with DBT and Airflow (or equivalent)
• Familiarity with Apache Iceberg / Hudi / Delta
• Understanding of partitioning and Parquet optimization

Interview Process*:

1. Connect with Talent Acquisition 
2. Technical Round 1 
3. Technical Round 2
4. Final Round 

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

About the Team

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

About the Role

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

You’re excited about this opportunity because you will…

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

We’re excited about you because…

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

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

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

About the Team

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

About the Role

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

You're excited about this opportunity because you will…

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

We're excited about you because…

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

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

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

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

About the Team

DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, we want to talk to you!

About the Role

In this role, your main focus will be to work on a variety of QA and triage tasks to assist in the development of our autonomous delivery robot.  A primary focus of the role will be to triage the logs of the daily testing runs of the robots conducted in the US. This includes replaying and analyzing specific events as annotated by the testing team, categorizing such events, and working with the software team to evaluate any required improvements. The role could also involve setting up various simulation scenarios for testing within our simulation environment as well as creating maps used by the autonomy stack for navigation. 

You’re excited about this opportunity because you will…

• Analyze: Utilize proprietary diagnostic tools and techniques to triage and diagnose robot autonomy issues accurately and efficiently
• Execute: Take charge of ensuring the prompt analysis of issues, generating reports and data visualizations that effectively prioritize and summarize identified issues
• Build: Develop and construct diverse scenarios within a simulation environment to test and validate new autonomy features. Additionally, create and maintain a library of scenarios to support comprehensive regression testing
• Collaborate: Work cross-functionally with Operations, Program Management, and Software Engineering teams to provide an effective feedback loop of identifying, routing, and monitoring key issues across various systems of the autonomy stack
• Optimize: Streamline and enhance QA processes and workflows
• Lead: Have opportunities to take end-to-end ownership of QA initiatives, encompassing process establishment, defining metrics, new team member training, execution, quality auditing, and reporting

We're excited about you because...

• Familiarity with autonomous vehicle systems
• A self-starter. Thrives in fast-paced, dynamic environments with a proactive, action-oriented approach
• Adaptable; you exhibit the agility to swiftly grasp new concepts, adapt to evolving project requirements, and become a proficient specialist
• An innovator, actively seeking opportunities to enhance processes and drive improvements in quality and efficiency
• Exceptional attention to detail, enabling you to discern subtle visual differences in frame-by-frame comparisons

Qualifications:

• Bachelor's degree in engineering or a related field, or equivalent work experience to 2+ Years of industry experience as a QA Engineer or equivalent
• Proficiency in using Issue Tracking Software such as Jira
• Exceptional analytical skills
• Proven ability to collaborate and communicate effectively across different functional teams
• Track record of high quality deliverables with minimal supervision
• Must be located in Hyderabad, India 

Nice to have...

• Familiarity with Linux and command line interfaces
• Familiarity with version control tools such as Git and ability to run basic commands/workflows
• Experience with one or more data analytics and business intelligence tools, such as Sigma
• Experience with SQL

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

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

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

About the Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.

About the Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives; working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.

This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you!

You’re excited about this opportunity because you will…

• Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
• Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
• Lead the development of data products and self-serve tools that enable analytics to scale across the company
• Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
• Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
• Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization

We’re excited about you because…

• 5+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
• Expertise in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
• Familiarity with database fundamentals (e.g., S3, Trino, Hive, Spark), and experience with SQL performance tuning
• Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
• Excellent communication skills and experience working with technical and non-technical teams
• Comfortable working in fast fast-paced environment, self-starter, and self-organizer
• Ability to think strategically, analyze, and interpret market and consumer information

Nice to Have

• Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance
• Experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster, DBT)
• Familiarity with experimentation concepts like A/B testing and their data requirements

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

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

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

About the Team

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

About the Role

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

You’re excited about this opportunity because you will…

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

We’re excited about you because…

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

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

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

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

Engineering Manager - Python

The Engineering Manager is responsible for leading a small team of developers (5–10 engineers) building automation and SaaS solutions using Python, web technologies, and AI-assisted development tools. This role combines hands-on technical leadership with team management, guiding engineers through the full development lifecycle while leveraging modern AI tools to accelerate development and improve quality.

You will work closely with Technical Product Managers and engineers to design scalable solutions, review code, remove blockers, and ensure successful delivery of features. The ideal candidate has strong Python experience, understands how to interact with web applications through HTML selectors and browser tools, and is comfortable integrating AI platforms such as Claude into the development workflow.

What You'll Do

• Lead and mentor a team of 5–10 engineers, providing technical direction,
  coaching, and support.
• Oversee the design, development, and deployment of automation and SaaS features built primarily with Python.
• Review code and guide engineers in writing clean, scalable, and maintainable solutions.
• Help developers identify and work with HTML elements, DOM structures, and selectors used in web automation and data extraction.
• Implement and improve AI-assisted development workflows, leveraging tools such as Claude or similar AI platforms to accelerate engineering productivity.
• Support automation efforts involving browser tools, scripting
  environments, or web interaction frameworks.

Experience & Technical Background:

• 10+ years of progressive experience in infrastructure, operations, or systems engineering
• 5+ years of leadership experience managing technical teams (10+ people preferred)
• Deep expertise in Linux/Unix systems, cloud platforms (AWS preferred), and Kubernetes
  orchestration
• Strong background in incident response, post-mortems, and operational excellence practices
• Proven experience implementing and scaling SRE practices and SLO/SLI frameworks
• Collaborate with Technical PMs and stakeholders to prioritize work, define requirements, and ensure timely delivery.
• Maintain high standards for code quality, testing, and documentation.
• Participate in architectural decisions and guide the team in building scalable and reliable systems.
• Monitor team progress, remove blockers, and continuously improve development processes.

Qualifications:

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 3–5+ years of software development experience, including experience working with Python.
• 1+ years of technical leadership or team management experience.
• Strong proficiency in Python and the ability to review and guide production quality code.
• Experience working with HTML, CSS, and web technologies, including inspecting and interacting with DOM elements and selectors.
• Familiarity with AI-assisted development tools, preferably Claude or similar AI platforms.
• Knowledge of SQL and relational databases such as MySQL or PostgreSQL.
• Experience using Git or similar version control systems.
• Strong communication, collaboration, and leadership skills.

Preferred

• Experience with web automation or browser-based interaction tools.
• Experience building or maintaining automation systems or data extraction pipelines. Background working in AI-augmented development environments.
• Experience leading small, fast-moving engineering teams

Opportunity Overview:

We are seeking a Senior Business Intelligence Engineer to join our Intelligence team. In this role, you will design, build, and optimize scalable data models and analytical assets that power reporting and self-service analytics across the organization. You will play a key role in strengthening our BI ecosystem by partnering closely with data platforms, and product teams to deliver high-quality, governed, and performant datasets and dashboards, while upholding best practices and standards..

This is an ideal opportunity for an experienced BI engineer who thrives in a hands-on technical role, can independently support complex initiatives, and is passionate about building clean, reliable, and scalable data foundations. This position offers the chance to have a substantial influence on the company, with the potential for rapid career advancement in a highly visible environment.

What you’ll do:

• Collaborate with business stakeholders to understand reporting needs and translate them into functional requirements.
• Design, develop, and maintain BI reports, dashboards, and data visualizations using BI tools (e.g., Tableau, Power BI, etc.).   
• Build and optimize Tableau dashboards and KPI frameworks with a focus on performance, usability, governance, and row-level security.
• Ensure data consistency and quality in reports by working closely with the data management team.
• Apply best practices in dbt modeling, testing, version control, and release management to ensure high-quality, maintainable pipelines.
• Perform data analysis and ad-hoc queries to support business decision-making.
• Stay current with industry best practices and emerging BI technologies.

What you’ll need:

Must-haves

• 6+ years of professional experience in business intelligence, analytics engineering, or data engineering, preferably in healthcare or another data-rich, regulated domain.
• Self-starter, able to work independently, able to succeed in a fast-paced, high intensity start-up environment
• Excellent english communication skills, with proven ability to create & deliver the results of analyses to non-technical audiences
• Advanced proficiency in SQL and strong hands-on experience with analytics engineering frameworks such as dbt.
• Strong experience with Tableau (Cloud and Desktop), including dashboard development, row-level security, performance optimization, and basic administration.
• Experience working with workflow orchestration tools such as Airflow.
• Experience working in AWS-based data platforms.
  
  

Nice-to-haves

• Experience with dbt or with similar tools
• Experience with Python.
• Exposure to additional BI platforms such as Power BI, Sisense, or open-source BI tools.
• Experience supporting dashboard embedding and integration into web applications.
• Background in healthcare payer analytics, utilization management, or clinical workflows.
• Previous experience working in a global model

Ability to commute/relocate:

• Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition for a Preliminary Phone Screening
2. Technical test 
3. Meet your Hiring Manager
4. Technical Round
5. Case Study
6. Final Interview

*Subject to change

About ZignaAI, a Cohere Health Company:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at ZignaAI, a Cohere Health company!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview:

We’re hiring a Manager, Business Intelligence to lead our India-based BI team and drive high-quality, reliable delivery across reporting and analytics. You will directly manage a team of BI Engineers and Analysts (7 members), serving as the operational backbone for our global BI function. Reporting to the Director of Data and AI. You’ll partner cross-functionally with global teams to deliver insights that directly impact providers, patients, and clients. This is a high-visibility role with strong growth potential, ideal for a player-coach who can go deep technically while driving speed, accountability, and high-quality execution across the team. We’re looking for a strong operator who can bring structure and discipline to fast-moving priorities, making clear trade-offs, and maintaining delivery momentum without sacrificing quality. We value teammates who are collaborative, candid, and empathetic, and are committed to building an inclusive, growth-oriented environment.

What you’ll do:

• Define and execute the Business Intelligence roadmap, aligned with company and client needs while ensuring accuracy, timeliness, and contractual alignment
• Lead and manage a team of BI Engineers and Business Analysts, enforcing clear ownership, SLAs, and accountability.
• Act as a senior partner to Product, Operations, and Client teams, translating complex asks into structured work products for the team
• Identify and eliminate bottlenecks in data pipelines, reporting workflows, and team execution
• Build scalable, reusable reporting frameworks and KPI layers across the organization
• Champion a self-service analytics culture while maintaining governance and data integrity
• Implement robust processes for data validation, reconciliation, and monitoring
• Drive data quality, metric standardization, and governance across all reportin

Required Qualifications:

• 7+ years in BI / Analytics / Data Engineering 
• 2+ years of people management experience
• Prior experience working in a global setting, partnering closely with US-based BI leadership, Product, and Operations teams
• Deep expertise in Agile execution and Jira-based delivery management:
• Backlog ownership, sprint planning, ticket triaging, and prioritization
• Ability to manage frequent re-prioritization without delivery breakdowns
• Strong hands-on experience in:
• SQL (advanced) and data modeling (dimensional / star schema)
• Tableau and/or Amazon QuickSight
• Modern data stack: dbt, Athena (or equivalent), Airflow (or orchestration tools)
• Demonstrated experience building scalable data models and KPI layers
• Ability to debug issues across the full product and data stack independently
• Strong stakeholder and client-facing communication skills.

Nice to have

• Experience working with healthcare datasets (claims, UM/PA workflows, EMR)
• Prior experience operating in high-change technology startup environments
• Background in healthcare tech, payer, or delegated UM environments
• Experience building metrics/semantic layers
• Exposure to AWS cost and performance optimization
• Experience scaling BI platforms for external/client-facing reporting
• Familiarity with data governance and metric standardization practices 

We can’t wait to learn more about you and meet you at Cohere Health!

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview:

We are seeking a Technical, Hands-on Manager to lead a team responsible for building and maintaining high-quality healthcare market datasets and analytics that power internal insights, benchmarking, and external thought leadership.

In this role, you will lead a team of data analysts responsible for the development, quality assurance, and ongoing refresh of market data assets. You will combine strong people leadership with technical expertise in analytics and data science to ensure reliable, scalable data pipelines and actionable insights.

The ideal candidate is both a strong people manager and a hands-on analytics leader who can guide analysts in rigorous data methodology, translate data outputs into meaningful business insights, and partner closely with commercial strategy, product, clinical, and analytics stakeholders.

What you’ll do:

• Lead and develop a team of data analysts responsible for the creation, validation, and ongoing refresh of healthcare market datasets.
• Mentor analysts in data methodology, statistical reasoning, and reproducible analytics practices to ensure consistent and rigorous analysis across the team.
• Establish analytic standards, coding practices, and documentation expectations to ensure all datasets and insights produced by the team are reproducible and scalable.
• Establish and maintain governance processes for market data including versioning, documentation, auditability, and traceability of data sources and methodologies.
• Oversee change-detection logic, ensuring the team systematically identifies and documents additions, removals, and shifts in the market dataset.
• Define and enforce data quality standards across ingestion, transformation, and analysis workflows.
• Collaborate with Data Engineering and Platform teams to ensure the underlying data infrastructure supports scalable ingestion, transformation, and analytics workflows used by the analyst team.
• Translate analytic outputs into business insights, benchmarks, and structured datasets that support product strategy, commercial enablement, and thought leadership initiatives.
• Drive the implementation of project scope definition, effort estimation, and planning in close coordination with cross-functional teams.
• Conduct code reviews and analytics methodology reviews to ensure maintainable, reproducible data workflows and high-quality analytic outputs.

What you’ll need:

Must-haves

• 7+ years of professional experience in data analytics, data science, or quantitative analysis in a production environment.
• Strong proficiency in Python and data analysis libraries (Pandas, NumPy, SciPy, Matplotlib).
• Advanced SQL querying and ability to work with large datasets.
• Strong understanding of statistics, data analysis methods, and pattern detection in complex datasets.
• Experience managing multiple concurrent analytics projects and prioritizing work across a team of analysts.
• Experience designing analytic frameworks or benchmark datasets used by business teams or external stakeholders.
• Experience managing data quality, data governance, and dataset lifecycle management.
• Experience evaluating and applying modern analytics or AI techniques (including LLM-based tools where appropriate) to enrich datasets or accelerate analytic workflows.
• Experiment and rapidly prototype design frameworks and validate hypotheses efficiently.
• Strong software engineering fundamentals including modular Python code, reusable analytic functions, and maintainable data pipelines.
• Familiarity with cloud data platforms (e.g., AWS, GCP, or Azure) and common data services used to store, process, and query large datasets.
• Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to align technical decisions with business goals, ensuring smooth integration of AI/ML capabilities into production systems
• Excellent communication and storytelling skills, capable of translating complex AI/ML concepts into clear, actionable insights for leadership, stakeholders, and non-technical partners.
• Ownership mindset with end‑to‑end accountability, ensuring delivery from concept to deployment to monitoring—while continuously identifying risks, blockers, and opportunities for improvement.

Nice-to-haves

• Background in healthcare payment integrity, clinical data workflows, or payer/provider analytics.
• Thought leadership in analytics-driven market intelligence, benchmarking, or healthcare data insights.
• Experience working with healthcare claims, authorization, or utilization management data.
• Experience producing market intelligence, benchmarking studies, or industry datasets.
• Familiarity with healthcare payer workflows or healthcare analytics environments.
• Familiarity with compliance, governance, and security best practices for healthcare data (HIPAA, PHI handling, logging, auditing).

Ability to commute/relocate:

• Nacharam, Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

OUR MISSION

At Redwood, we empower our customers with lights-out automation for their mission-critical business processes.

ABOUT US

Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next.

CORE VALUES

One Team. One Redwood

Make Your Own Weather

Obsess over Customer Success

Work the Problem

Be Curious

Own the Outcome

Respect Each Other

YOUR IMPACT

We are seeking a skilled Data Analyst with strong experience in BigQuery, SQL, and Qlik to support financial reporting and analytics. The ideal candidate will have a solid understanding of financial metrics, be comfortable working with large datasets, and translate complex data into clear, actionable insights for business and finance stakeholders. In this role, you will be responsible for analyzing financial and sales data, creating insightful reports, and providing strategic recommendations and driving data-driven insights and initiatives to optimize Financial performance and efficiency. This role involves interpreting complex data sets, identifying trends, and collaborating with cross-functional teams to optimize processes. Strong analytical skills, proficiency in data visualization tools, and the ability to communicate findings effectively are essential for this position.

YOUR EXPERIENCE

• 5 years of hands-on experience with data analysis tools and techniques (e.g., Salesforce, SQL, Python, R, Qlik/Tableau, Excel). SQL is a MUST HAVE.
• Experience in finance operations or data analyst role.
• Solid knowledge of financial reporting concepts and business finance
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Strong attention to detail and accuracy.
• Passion for data and its ability to drive business results.
• Bachelor's degree in business administration, Statistics, Data Science, or a related field.

About the role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

As a Database Engineer for the Data Engineering team, you will be responsible for maintaining and enhancing the reliability of our data infrastructure. Your work will directly impact the availability and performance of our data services, enabling the organization to make data-driven decisions. You will collaborate closely with data engineers, and software engineers to develop and drive 100% automation, best practices for deep monitoring and alerting.

About You

We get excited about candidates, like you, because...

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in database operations, or a related role with a focus on data platforms, data stores, data operations.
• Deep experience in RDS and NoSQL is a must.
• Extensive experience with AWS cloud platform and their data-related services.
• Proficiency in monitoring tools (e.g., Datadog, CloudWatch, DevOps Guru, DB Performance Insights).
• Proficiency in one or more programming languages (e.g.  Python, Java)
• Strong understanding of various performance metrics both at a high level and at a low level like Disk/IO saturation.
• Experience in identifying and eliminating the bottlenecks in the system.
• Strong understanding of database internals like types of indexes, schemas, query plans.
• Strong understanding of database systems (e.g., SQL, NoSQL) and experience in managing large-scale data infrastructures.
• At least basic knowledge in automation frameworks (e.g., Terraform, Cloud Formation).
• At least basic knowledge and some hands-on implementation of CI/CD pipelines and DatabaseOps practices.
• Experience with data governance, compliance, and lifecycle management.
• Strong problem-solving skills and a proactive approach to identifying and addressing issues.
• Ability to independently own and execute projects while effectively collaborating with the team to influence and shape the vision of the data engineering organization.
• Strong communication skills and the ability to mentor and guide junior engineers.

About the Team

The Database Operations Engineering team is dedicated to ensuring the reliability, scalability, and performance of our data infrastructure. We focus on standardizing and implementing monitoring and alerting across all datastores to track key metrics like errors, latency, and throughput, and to ensure critical systems are covered. Our team also leads efforts to keep databases up-to-date, implements Infrastructure as Code (IaC) for high availability and performance, and automates key processes to enhance operational efficiency. 

We lead and evangelize the principle of 100% automation. Additionally, we define and document operational requirements, develop incident response processes, and automate monitoring and compliance checks to maintain a secure and reliable data environment. By continuously improving load testing and optimizing data governance practices, we support the overall health and efficiency of our data systems.

Position Summary

Arcesium seeks an experienced Data Scientist professional to join our Business Operations team within the Client and Partner Development (CPD) organization. The ideal candidate will be comfortable working across large volumes of varied datasets spanning pricing, headcount, market research, commercial performance, and translating that data into the models, frameworks, and insights that drive decision-making. Beyond building models and reporting on data, this person will be expected to draw principled conclusions from their analysis and present clear, strategic recommendations to senior leadership. You will also play an active role in identifying AI-driven solutions that improve how the team works and be a part of AI strategy for CPD. You will collaborate closely with global CPD teams across Sales & Partnership, Revenue Operations, Marketing, Forward Deployed, Account Management and Client Success, Service and Solutions teams to execute complex projects and help the organization scale through data-backed governance.

What you'll do:

• Identify relevant data sources and work with CPD stakeholders across functions to collect, analyze, and interpret large structured and unstructured datasets spanning domains such as pricing, headcount, market research, and operational metrics.
• Devise and apply algorithms and models to extract insight from large data stores. Conduct data and error analysis to improve model performance, and clean and validate data for uniformity and accuracy.
• Analyze data for trends and patterns with clear objectives in mind. Interpret outputs and draw principled conclusions rather than stopping at the analysis itself, ensuring findings inform real decisions.
• Implement analytical models and reporting frameworks end to end, from data ingestion through to leadership-ready outputs.
• Conduct what-if and scenario analyses and translate outputs into clear narratives that are actionable at the senior leadership level.
• Design and develop automation scripts and data pipelines to synthesize and structure data from diverse sources, applying critical thinking to move toward zero-touch processes and maximize end-to-end efficiency.
• Produce KPI dashboards and performance reports using historical data to surface trends and productivity insights for executive audiences, with a focus on telling the story behind the data.
• Act as the primary internal champion for responsible, practical AI use within CPD, educating stakeholders, setting best practices, and ensuring solutions are sustainable and governed.
• Develop reusable AI frameworks, prompt libraries, and automation components that scale adoption across the CPD organization and serve as a foundation for future capabilities.

What you'll need:

• Strong verbal and written communication skills, with the ability to present analytical findings clearly to senior leadership and stakeholders across functions.
• 4 to 7 years of experience in a data analytics or business operations role. Prior experience at a financial technology firm is a plus.
• Advanced proficiency in Excel including complex formulas and VBA Macro programming. Strong Excel fundamentals are a core expectation of this role.
• Proficiency in Python or similar scripting languages for data transformation, automation, and analysis.
• Working knowledge of SQL for querying and managing structured datasets.
• Experience with data visualization tools, particularly Power BI, to build dashboards and reports for executive and operational audiences.
• Experience with data mining and statistical analysis, including segmentation techniques and statistical packages for working with large datasets.
• Proven ability to conduct what-if and scenario analysis and communicate implications clearly to non-technical senior stakeholders.
• Experience tracking KPIs and relevant metrics for revenue organizations, aligned with broader organizational performance indicators.
• Demonstrated hands-on experience building AI-powered workflows, automation pipelines, or LLM-assisted tools in a business context.
• Genuine intellectual curiosity about AI and a track record of applying it to real operational problems.
• Ability to balance medium to long-term analytical projects alongside day-to-day operational responsibilities.

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

Position Overview:

As a Senior Technical Account Manager (TAM), you will be a strategic partner for our key business customers, ensuring they receive guidance, support, and resources to succeed in the cloud. This multifaceted role combines technical expertise, leadership, and customer advocacy, making it pivotal to DigitalOcean’s success.

What You’ll Do:

1. Technical Consultation & Architecture Design

• Develop deep expertise in DigitalOcean’s product portfolio and the broader cloud ecosystem.
• Design, diagram, and plan infrastructure architectures tailored to customer needs.
• Conduct technical workshops and consultation sessions to empower customers.
• Stay updated with cloud infrastructure best practices and maintain relevant certifications.

2. Proactive Customer Engagement & Growth

• Manage and grow key DigitalOcean accounts, driving retention and expansion.
• Conduct QBRs to assess customer progress, evolving needs, and growth strategies.
• Identify cost optimization and performance improvement opportunities.
• Collaborate with internal teams (Engineering, Marketing, Account Management) to align on strategic goals.
• Monitor customer usage trends to proactively identify risks and opportunities.

3. Advocacy & Cross-Functional Collaboration

• Serve as the voice of the customer, influencing product development and support processes.
• Liaise with Engineering and Support teams to resolve escalations and technical issues.
• Deliver compelling presentations and training for customers, partners, and internal teams.
• Contribute to technical documentation and knowledge sharing initiatives.

4. Tooling & Efficiency

• Develop tools and scripts to improve TAM workflow and engagement efficiency.
• Stay current with industry trends to enhance customer engagement strategies.

What You’ll Add to DigitalOcean:

Technical Expertise:

• Strong experience in cloud infrastructure, Linux, distributed systems, and automation.
• Basic programming skills in a mainstream language (e.g., Python, Go).
• Knowledge of provisioning and deployment tools such as Terraform, Ansible, and Docker.
• Proficiency with at least one major cloud platform (AWS, GCP, Azure).
• Familiarity with version control (Git), SQL, CI/CD tools, and AI/ML infrastructure principles.

Customer-Centric Approach:

• Proven ability to deliver exceptional customer experiences and technical solutions aligned with business goals.
• Strong stakeholder management, prioritization, and expectation-setting skills.
• Analytical skills to monitor customer trends and identify growth opportunities.
• Experience advocating for customer needs and translating feedback into actionable insights.

Communication Skills:

• Strong verbal and written communication, capable of simplifying complex technical concepts.
• Experience delivering presentations and training sessions tailored to customer needs.

Adaptability & Initiative:

• Self-starter with a passion for technology and open-source projects.
• Quick to adapt to changes in the cloud ecosystem and improve solutions and engagement strategies.

Extra Credit / Preferred Experience:

• Prior experience in Technical Customer Success, Solutions Engineering, or Technical Account Management, particularly in startup environments.
• Cloud certifications (AWS, GCP, Azure) and NVIDIA certifications for GPU and AI/ML.
• Networking (Cisco/Juniper), automation (Terraform, Ansible), virtualization (KVM, Xen), and database experience (MongoDB, MySQL).
• Familiarity with open-source technologies like Docker, Kubernetes (CKA/CKE), and DigitalOcean’s API.
• Linux certifications (RHCSA/RHCE) and experience with large CRMs like Gainsight and Salesforce.

*This is a hybrid role

#LI-Hybrid

We want people who are passionate about building meaningful, long-term relationships with our customers that help grow and scale business in the cloud.

Our Technical Account Manager team’s mission is to partner with our most critical business customers, helping them achieve desired outcomes through optimal use of the cloud platform aligned to their business strategy. Technical Account Management is an integral part of our company. They are passionate about building meaningful, long-term relationships with our customers and are experts in cloud technology and the digital economy. As the voice of the customer, you have the opportunity to influence decisions that will greatly improve user experience and contribute to DigitalOcean’s long-term success.

This is a unique and exciting opportunity for someone who is passionate about advising companies as they scale. This multifaceted role combines the responsibilities of a Technical Account Manager with leadership, technical, and strategic elements, making it a crucial position within our organization.

As a Technical Account Manager at DigitalOcean, you are a strategic partner for our key business customers, ensuring they receive the guidance, support, and resources needed to succeed. You will leverage your technical knowledge and customer advocacy skills to retain and grow our customers' deployments on DigitalOcean, helping them solve complex challenges and maximize the value of their cloud infrastructure.

What You’ll Do:

Technical Consultation & Architecture Design:

• Develop and maintain deep expertise in the DigitalOcean product portfolio and the evolving cloud ecosystem.
• Help design, diagram, and plan infrastructure architectures tailored to customer use cases, explaining solutions clearly to both technical and non-technical stakeholders.
• Conduct regular technical consultation sessions and workshops, enabling customers to be self-sufficient in managing their cloud environments.
• Maintain knowledge of cloud infrastructure best practices and recent technologies through the regular attainment and maintenance of important cloud technology certifications and coursework.

Proactive Customer Engagement & Growth:

• Manage and maintain DigitalOcean’s key accounts 
• Partner closely with customers to drive engagement, retention, and expansion of their DigitalOcean workloads.
• Conduct QBRs with key accounts, assessing their progress, understanding their evolving needs, and aligning on strategies for future growth.
• Identify opportunities for cost reduction and performance optimization, guiding customers to make data-driven decisions that maximize their cloud investments.
• Collaborate with internal teams, such as Engineering, Marketing, and Account Managers, to align customer needs with DigitalOcean’s strategic goals.
• Proactively monitor customer usage trends, identify potential risks, and uncover new opportunities for growth and adoption.

Advocacy & Cross-Functional Collaboration:

• Act as the voice of the customer within DigitalOcean, ensuring their needs are represented in product development and support processes.
• Liaise with Engineering and Support teams to resolve escalations and technical challenges quickly, ensuring smooth customer experiences.
• Deliver compelling presentations to articulate the benefits and functionality of DigitalOcean’s offerings to customers.
• Contribute to internal and external technical documentation, and provide training for DigitalOcean’s teams and partners to ensure knowledge transfer.

Tooling & Efficiency:

• Develop tools and scripts to streamline DigitalOcean’s technical engagements, improving the efficiency of the Technical Account Management functions.
• Stay current with industry trends and best practices to continuously enhance DigitalOcean's customer engagement strategies.

What You’ll Add to DigitalOcean:

Technical Expertise:

• Proven experience in cloud infrastructure and deep knowledge of Linux, distributed systems, and automation.
• Programming or development experience, with basic skills in at least one mainstream language (e.g., Python, Go).
• Understanding of provisioning and deployment strategies, with knowledge of tools like Terraform, Ansible, and Docker.
• Proficiency with at least one major cloud platform (AWS, Google Cloud Platform, or Azure).
• Proven track record of successfully troubleshooting technical problems. 
• Familiarity with version control (e.g., Git), SQL and basic database administration, CI/CD tools, and AI/ML infrastructure principles.

Customer-Centric Approach:

• Passionate about delivering exceptional customer experiences, with a history of building successful technical solutions that align with business goals.
• Ability to manage multiple stakeholders, prioritize effectively, and set clear expectations.
• Strong analytical skills to monitor customer trends and identify opportunities for improvement and growth.
• Experience advocating for customer needs and translating feedback into actionable insights.

Communication Skills:

• Strong verbal and written communication skills, capable of translating complex technical concepts for varied audiences.
• Ability to create and deliver technical presentations and training sessions that resonate with customer needs.

Adaptability & Initiative:

• Self-starter with a passion for technology and open-source projects, eager to learn new tools and systems.
• Quick to adapt to changes in the cloud ecosystem, always looking for ways to improve customer engagement and technical solutions.
• Extra credit for experience in (Technical) Customer Success, Solutions Engineering, or Technical Account Management roles, particularly within fast-paced startup environments.

Extra Credit:

• Cloud certifications (AWS/GCP/Oracle/Azure) and NVIDIA certifications for GPU and AI/ML.
• Experience with networking (Cisco/Juniper), automation tools (Terraform, Ansible), virtualization (KVM, Xen), and databases (e.g., MongoDB, MySQL).
• Familiarity with open-source technologies, such as Docker, Kubernetes (CKA/CKE), and DigitalOcean’s API.
• Linux certifications (e.g., RHCSA/RHCE) 
• Experience working with large CRMs like Gainsight and Salesforce

*This job is located in Hyderabad, India

#LI-Hybrid

We are looking for a GTM/RevOps Analytics Engineer to bridge the gap between technical data architecture and business insights. Reporting to the Senior Manager, Revenue Operations, you will be a key player in defining how we measure success and automate the journey from lead to revenue.

What You’ll Do:

• Architect SQL-based data transformations from multiple GTM sources to ensure a single, clean version of truth for the entire organization.
• Design and maintain Looker/LookML dashboards to provide sales and GTM leadership with real-time visibility into pipeline health and revenue trends. Proven ability to translate raw sales activity into clean, actionable revenue data
• Engineer automated GTM reporting workflows in order to eliminate manual data pulls and allow business teams to focus on strategy over spreadsheets.
• Partner with RevOps, Analytics, and Finance to define core business metrics and ensure data consistency across the customer lifecycle.
• Optimize Salesforce data structures (Accounts, Opportunities, and Revenue) to improve the accuracy of our forecasting and performance tracking.
• Develop scripts and AI-based workflows over time to automate routine GTM tasks and enhance our operational velocity.
• Translate complex data findings into plain language for stakeholders to ensure every department understands the "why" behind the numbers.

What You’ll Add:

• Technical Breadth: A professional understanding of advanced SQL for complex data modeling, hands-on experience with Looker/LookML, and a deep comfort navigating Salesforce GTM data structures.
• The "Human" Element: You are a structured thinker who enjoys simplifying complex problems and can build high-trust relationships with cross-functional partners.
• Coding & Automation: Experience with Python or using APIs to build scripts that make manual processes disappear.
• Growth Mindset: A desire to move beyond "what" happened to "why" it happened, with an appetite for constant feedback and a "leave it better than you found it" attitude.

This role supports EST and PST time zones, and the candidate should be comfortable working a night‑shift schedule

Have you ever wondered what happens inside the cloud?DigitalOcean (NYSE: DOCN) simplifies cloud computing so builders can spend more time creating software that changes the world. With our mission-critical infrastructure and fully managed offerings, DigitalOcean enables startups and small and medium-sized businesses (SMBs) to rapidly deploy and scale modern applications. As a remote-first organization, our employees, like our customers, are based around the world. We want people who are passionate about building features that you and your peers will loveDigitalOcean’s Managed Databases Team builds and runs the services and infrastructure for the DigitalOcean DBaaS product.We handle the full life cycle of Managed Databases from the APIs which let users create and manage their databases to software that automates the running, upgrading, and health of databases. We are looking for a seasoned engineer to work on a small team focused on Database-as-a-Service products. This role reports to the Engineering Manager of the Datastores and Messaging team within the Platform-as-a-Service (PaaS) organization in Engineering. This role will involve technical leadership to scale our database platform to meet the needs of our growing customer base. This position is able to be hired in India, located in our hub city of Hyderabad.

What You’ll Do:

• Developing external customer-facing Managed Database products (MySQL, PostgreSQL, Caching, Kafka, OpenSearch, MongoDB).
• Acting as a subject matter expert on MySQL and PostgreSQL, providing guidance on performance optimizations and administrative issues.
• Developing and maintaining distributed systems in a Kubernetes environment that is globally distributed.
• Authoring and giving feedback on technical designs.
• Developing APIs with Go.
• Mentoring other engineers on best practices and performing code reviews.
• Providing the last-line of support for DBaaS products.
• Collaborating with agile, self-managed teams of peers across other products. This includes engineers, product managers, designers, and more.
• Leveraging technologies such as Temporal, gRPC, REST, Kubernetes, Docker, Kafka, Grafana and more.
• Integrating with many components across the DigitalOcean stack.

What You’ll Add to DigitalOcean:

• 8+ years of experience working in fast-paced, agile product development environments.
• 5+ years of experience working as a subject-matter expert with PostgreSQL and/or MySQL databases.
• Strong knowledge of microservices using container workload engines and frameworks such as Docker and Kubernetes.
• A track record of building and maintaining large distributed systems.
• Experience with resilience engineering, fault tolerance, and failure domains as they relate to database backends.
• Strong spoken and written technical capabilities in developing and maintaining software.
• Experience with concurrency patterns in Go.
• Experience with CI/CD pipelines and frameworks.
• A strong background and exposure to different databases, both SQL and NoSQL paradigms.
• Familiarity with prevalent message bus and queuing technologies.
• Passion for collaborating directly with customers to discover their Jobs To Be Done, and developing simple delightful solutions to solve those jobs.
• Strong interpersonal and communication skills to collaborate and demonstrate empathy with key stakeholders, both spoken and written.

This is a hybrid role based out of Hyderabad, India. 

#LI-Hybrid 

We are looking for an exceptionally talented Trade and Regulatory Compliance Product Lead to join the Product Management Group in our Hyderabad & Bangalore office. This group is responsible for working with technology teams throughout the process lifecycle to specify, develop, and implement the firms’ infrastructure and new middle-and-back-office applications.

This position offers exciting opportunities to bridge product management and client relationship management; and to collaborate with some of the brightest minds in the industry.

What you’ll do:

• Own Product Vision & Roadmap: Drive the strategic vision for a global share disclosure reporting product, owning the complete lifecycle from requirements through execution. Create and maintain a prioritized backlog incorporating ROI analysis and product effectiveness, while ensuring alignment with strategic goals.
• Define Regulatory Workflows: Design end-to-end workflows for regulatory disclosure filings across multiple jurisdictions (US SEC, UK FCA, EU ESMA, etc.).
• Translate Specifications into Product: Work closely with engineering teams to translate product specifications into design and implementation while maintaining clear communication on project plans, release notes, and comprehensive product documentation.
• Execute Hands-On Technical Work: Actively engage with APIs (RESTful, GraphQL) for data integration, perform complex data manipulation using SQL and Python, and build interactive dashboards using Google Looker. Prototype features, validate calculations and data accuracy, and troubleshoot issues for filing integrity.
• Manage Stakeholder Communication & Feedback: Communicate effectively with all stakeholders including clients, operations teams, and compliance officers. Conduct product demos and training sessions, gather and synthesize feedback to drive continuous improvement.
• Monitor Market & Regulatory Landscape: Stay on top of the dynamically evolving business environment by tracking regulatory technology (RegTech) trends, conduct competitive analysis and identify differentiation opportunities to maintain market leadership.

What you’ll need:

• 3-5 years of experience in investment management domain or developing/managing software technology products, with demonstrated expertise in data products or SaaS platforms in financial services, preferably in regulatory reporting or post-trade operations.
• Regulatory Domain Expertise: Deep understanding of global share disclosure regulations including Form 13F, 13G/D, Schedule 13D, UK Takeover Code (Rule 8), EU Short Selling Regulation (SSR), and other regimes.
• API & Data Integration Proficiency: Hands-on proficiency with APIs including experience consuming, testing, and integrating RESTful APIs including the ability to read and understand technical documentation, data schemas, and API specifications to orchestrate complex data workflows.
• Data Manipulation & Analysis Skills: Strong proficiency in SQL and at least one scripting language (Python) for data transformation and analysis.
• Data Visualization & Business Intelligence: Demonstrated expertise building dashboards and reports using Google Looker or similar tools.
• Excellent critical thinking skills with the ability to articulate viewpoints and influence stakeholders effectively.
• A distinguished academic background and a strong passion for working in a high-tech software development environment.
• Proven ability to manage multiple deliverables concurrently.

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

Arcesium seeks an experienced Solution Architect to join our Client and Partner Development team as a Forward Deployed Solution Architect. As a Forward Deployed Solution Architect, you will bridge the gap between Arcesium platform and clients' business requirements. You will show the customer value quickly and turn insights into scalable and repeatable long-term solutions. Forward Deployed Solution Architects work directly with Arcesium customer stakeholders and Arcesium product teams to solve sophisticated data problems in the investment management businesses.

What You'll Do:

• Guide customer top stakeholders (CTO, CDO) on the best ways to accelerate customer data strategy through Arcesium
• Decompose customer problem into component parts, design scalable solution using platform capabilities as building blocks
• Present solutions to customers verbally as well as written proposals, rich materials and illustrations
• Work with prospective clients to define the scope and success criteria of PoC projects
• Lead various projects including Proof of Concepts, Implementations and beyond
• Manage stakeholder expectations, highlights project risks and mitigations, and lead governance meetings
• Collaborate with Forward Deployed Software Engineers, Forward Deployed Data Strategists and Product teams for project success 
• Think critically to suggest improvements to the process, which may reduce costs, drive product innovation and result in increased sales conversion
• Closely work with client developers getting them up to speed on Arcesium’s technical/data architecture, platform overview, hands-on API training, data flow (ingress/egress) across applications
• Present and discuss Arcesium's Technology capabilities in Sales conversations, demos etc.

 What You'll Need:

• 8 to 10 years of experience in client facing roles requiring a high degree on consultative and solutioning skills (e.g., client solutions, professional services and implementations, etc.), providing technical solutions and building and driving software development
• Software engineering background, with prior hands-on coding experience (preferred languages: Python, Java, writing medium/complex SQL queries)
• Strong technology acumen, knowledge of engineering process, design knowledge, and architecture intelligence
• Skills cutting across technology and financial domain
• Ability to drive cross-functional medium & large-scale projects, across business and technology domains; stakeholder management across levels is required
• Strong interpersonal skills and experience building strong internal and external relationships
• Strong communication skills, including the ability to be influential and persuasive with stakeholders
• Familiarity with cutting edge cloud solutions and data analysis techniques 

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

We are looking for a Lead Engineer - Solutions Engineering to join our Corporate Technology team. You will own and drive the internal ticketing platform - Arcesium’s internal ticketing and workflow engine powering request management, incident handling, and automation across the organization.

This is primarily a hands-on engineering role with a technical leadership component. You will spend most of your time writing code, designing systems, and solving engineering problems, while also mentoring a small team and driving platform direction. The ideal candidate is a strong Java backend engineer comfortable working across the full stack, with a platform-ownership mindset - from code to production.

What You’ll Do

1. Platform Ownership: Own the Ticketing platform end-to-end — architecture, development, deployment, and production operations.
2. Backend & Full-Stack Development: Build and maintain production-grade Java services, work with SQL Server for query optimization and schema migrations, and contribute to frontend changes when needed.
3. DevOps & Cloud: Own CI/CD pipelines (Git, Maven/Gradle, GitLab CI) and manage containerized deployments on AWS (ECS, RDS, S3, CloudWatch).
4. Observability & Incident Response: Build monitoring dashboards and alerting. Lead incident response, root cause analysis, and post-mortems.
5. Security: Ensure platform security — authentication, authorization, secrets management, cross-client isolation, and annual security upgrades.
6. Team Leadership: Mentor and guide engineers through code reviews, design discussions, and technical direction. Coordinate with cross-functional stakeholders on delivery and roadmap.
7. Documentation: Maintain technical documentation, runbooks, and architecture decision records.

What You’ll Need

1. Backend Engineering — Java: Strong expertise in Java including concurrency, collections, streams, and JVM internals. Comfortable working with vendor or legacy codebases.
2. SQL Server: Hands-on experience with query optimization, schema migrations (Liquibase), connection pool management, and performance monitoring.
3. Full-Stack Capability: Proficiency in JavaScript and modern UI frameworks. Able to build, review, and debug frontend code when needed.
4. DevOps & Cloud (AWS): Experience with CI/CD pipelines, containerized deployments (Docker, ECS), and AWS services.
5. APIs & Distributed Systems: Solid understanding of RESTful API design and microservices patterns.
6. Security: Understanding of web application security — authentication, authorization, access control, and secrets management.
7. Problem Solving: Strong debugging skills with a structured approach. Ability to lead incident response under pressure.
8. Leadership: Ability to mentor engineers, drive technical decisions, and take ownership of platform initiatives. Strong communication skills for cross-functional collaboration.

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

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. 

Responsibilities:
• Stakeholder management & requirements gathering on various implementation projects related 
to performance attribution, work as a primary SME.
• Conduct comprehensive discovery sessions with stakeholders to understand investment 
strategies, measurement needs, attribution requirements, and reporting workflows.
• Play key role in defining success criteria for the end-to-end implementation related to 
performance attribution solutions.
• Contribute to documenting detailed business requirements for performance calculations, 
attribution models, and reporting frameworks.
• Ensure all performance reporting adheres to industry standards and regulatory requirements, 
such as the Global Investment Performance Standards (GIPS)
• Translate complex requirements into actionable specifications for implementation teams.
• Work closely with Arcesium product management and engineering to ensure platform 
compatibility and data flow.
• Develop user documentation, process guides, and best practice materials.

Requirements:
• 6-12 years of experience in investment performance measurement, attribution analysis, or 
related buy-side operations roles
• Deep expertise in performance calculation methodologies (TWR, MWR, IRR, GIPS standards) and 
attribution frameworks (Brinson, factor-based, holdings-based, etc.)
• Proven track record implementing performance measurement systems or working as a 
performance analyst at sophisticated institutional investors.
• Strong understanding of investment strategies across asset classes (equities, fixed income, 
alternatives, multi-asset)
• Excellent analytical and critical thinking skills with meticulous attention to detail and accuracy
• Bachelor’s degree in finance, Economics, Mathematics, Computer Science, or related field. CFA 
or CIPM will be highly desirable.
• Since Arcesium uses StatPro integration, Experience with StatPro or similar performance 
attribution platforms (e.g., FactSet, MSCI) as a plus.
• Familiarity with regulatory and compliance requirements (GIPS, SEC, ILPA, etc.)
• Experience with SQL, Python, or other data analysis and automation tools
• Experience managing large-scale technology implementations or transformation projects.
• Strong analytical skills, critical thinking skills, and attention to detail along with strong 
interpersonal skills with a collaborative attitude
• Ability & willingness to work under pressure and take on additional operational tasks and meet 
tight timelines.

Arcesium and its affiliates do not discriminate in employment matters on the basis of race, color, religion, 
gender, gender identity, pregnancy, national origin, age, military service eligibility, veteran status, sexual 
orientation, marital status, disability, or any other category protected by law. Note that for us, this is more 
than just a legal boilerplate. We are genuinely committed to these principles, which form an important 
part of our corporate culture, and are eager to hear from extraordinarily well qualified individuals having 
a wide range of backgrounds and personal characteristics

Job Title: Senior Data Engineer

Job Location: Hyderabad, India

Job Type: Full-time

Work Mode: (Hybrid – we operate from the office 1 day a week as of now and might change to 2 days depending on the need).

Company : Coeo Ltd.,

About the company: 

Coeo are trusted data management and analytics experts, delivering technology strategy and support for business. The team have deep technical and comraderies experience working with Microsoft Data Services to help our clients optimize their costs and maximize the benefits from their investments in these technologies. Coeo has been established for over 17 years and has offices in Reading, UK and Hyderabad, India. We are exclusively focused on Microsoft technologies. Our mission is to “help our clients predict their future” through the better use of data, technology, people, and processes. To do this our business has always focused on:

• Data Managed Services
• Data Platform Consultancy
• Analytics Consultancy
• Artificial Intelligence Consultancy
• Adoption and Change Management

But above all, Coeo’s most important asset is its people, and at Coeo we are really focused on investing time, attention, and resources into building a culture that truly values its people.

We are growing our teams in India to support our ongoing customer requirements in Managed Services, Consulting and Development.

Coeo is recruiting a strong Senior Data Engineer; we’ll give you the opportunity to grow and develop your capabilities as well as support you through Microsoft certifications. You’ll have experience in:

• Developing low to high complexity, secure, governed, high quality and efficient data pipelines from a variety of on and off premise, internal and external data sources.
• Ensuring that data is cleansed, mapped, transformed, and optimized for storage to meet requirements for business and technical use cases.
• Building data observability and data quality by design into all Data pipelines, promoting self-testing pipelines that proactively identify processing issues or discrepancies.
• Take all requirements into account when creating a proposal
• Understanding and evaluating the organizational impact of new technologies and digital services
• Troubleshooting and resolving issues

You may be building solutions that transform data into data lake storage areas, physical database models and reporting structures across data lakes, Datawarehouse, business intelligence systems and analytics applications. You may also be required to carry out unit testing of your own code and peer testing of others to ensure appropriate quality.

Experience

• Experience working with large, event-based, datasets in an enterprise environment.
• Minimum 6 years within an Azure or SQL Data Engineering environment
• Engineering and database skills in SQL Server and/or Azure (Data Factory, Synapse) and the associated ETL technologies.
• Experience developing, driving & maintaining Data Integration Roadmaps and best practices.
• Overall responsibility of all technical business requirements, gathering deliverables and implementation.
• Ability to deliver high-to-low level designs for Data Solutions and have a good understanding of the full data lifecycle.
• Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc.
• Hands-on experience designing and developing stored procedures/functions and leveraging ETL packages/workflows
• Expertise in Cloud related Big Data integration and infrastructure tech stack using Azure Databricks & Apache Spark framework
• Well-versed with scripting languages such as Python
• Experience in Continuous Integration / Continuous Delivery (CI/CD).
• Experience working in an agile environment and self-managing teams.
• Understanding and practical knowledge of testing techniques and tools

Desired Skills

• Big Data
• Azure
• Spark
• Python
• Azure Databricks
• Azure Synapse
• Microsoft Fabric
• Azure Data Factory
• SQL Server

Benefits

• Company bonus scheme driven by yours and our success
• Comprehensive benefits package
• We care about your wellbeing so have invested resources and training help to ensure you can be at your best with us
• Very friendly, inclusive culture, family-feel and strong camaraderie
• Company growth and new projects mean on going career progression options
• Up to date technology, so collaboration has never been easier
• Cutting edge technology projects – exciting goals ahead!

Diversity and Inclusion:

Coeo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and strive to ensure that everyone feels valued, respected, and supported. If you require any adjustments or additional support during the interview process, please let us know, and we will be happy to accommodate your needs.

How to Apply:

Click Apply or visit our Careers page at www.coeo.com. or you can send your resume to krishna.chaitanya@coeo.com

About the Role: 

The Salesforce Administrator, Global Customer Experience (GCX) serves as the dedicated Salesforce platform owner for the GCX organization at Billtrust. Operating outside the core Salesforce Administration team, this role is the primary administrator for all GCX-specific use cases — including Salesforce Experience Cloud (Communities), Certinia (formerly FinancialForce), Salesforce Service Cloud, and other native Salesforce tools or third-party integrations that support customer-facing operations.The GCX Salesforce Administrator partners closely with GCX leadership, Professional Services, Customer Success, Support, and Operations teams to translate business requirements into scalable platform solutions that enhance the end-to-end customer experience and internal operations.

This individual combines deep Salesforce platform knowledge with an understanding of B2B SaaS customer lifecycle operations. The GCX Salesforce Administrator is responsible for driving adoption, optimizing workflows, and maintaining governance of GCX-owned Salesforce environments while coordinating with the enterprise Salesforce Administration team on shared platform standards, release management, and security protocols.The ideal candidate is equally comfortable configuring complex automation and sitting with business stakeholders to understand process gaps and design intuitive solutions.

What You'll Do: 

• Serve as the primary Salesforce administrator for all GCX use cases, owning configuration, optimization, and day-to-day platform support for GCX teams including Customer Success, Professional Services, Support, and Operations
• Administer and enhance Salesforce Experience Cloud (Communities) portals, ensuring a seamless, branded experience for external customers and partners
• Configure and maintain Certinia (formerly FinancialForce) modules supporting GCX operations, including project management, resource management, and professional services automation (PSA) workflows
• Own and continuously optimize the GCX Service Cloud environment, including case management configuration, queue and routing logic, escalation rules, SLA milestones, and Knowledge management — ensuring the platform supports seamless case handling across Support, Customer Success, and Professional Services teams and scales with evolving GCX service delivery models
• Manage Salesforce integrations with third-party applications relevant to GCX operations (e.g., CS tools, Pendo, Jira, telephony/CTI tools, knowledge base platforms)
• Implement and maintain declarative automation (Flow, approval processes, assignment rules, validation rules) tailored to GCX business processes and customer lifecycle workflows
• Design and deliver dashboards, reports, and analytics that provide GCX leadership with actionable visibility into customer health, case trends, engagement metrics, and delivery performance
• Manage all aspects of GCX-specific user administration, including roles, profiles, permission sets, public groups, and sharing rules — coordinating with the enterprise Salesforce team on org-wide policies
• Gather requirements from GCX stakeholders, translating operational needs into best-practice, scalable solutions with a focus on user experience and cross-functional alignment
• Own the GCX Salesforce roadmap in partnership with GCX leadership, identifying opportunities for platform consolidation, process automation, and feature adoption that support strategic objectives
• Coordinate with the enterprise Salesforce Administration team on shared governance, sandbox management, release schedules, and security reviews to maintain platform integrity
• Develop and maintain technical documentation, training materials, and change communications specific to GCX Salesforce environments
• Proactively monitor data quality within GCX-owned objects and implement validation, deduplication, and enrichment rules as need

What You'll Bring: 

• 5+ years of hands-on Salesforce Administration experience, with demonstrated depth in Service Cloud and Experience Cloud (Communities); Sales Cloud experience also valued
• Hands-on experience with Salesforce CRM, Certinia PSA (formerly FinancialForce), and Service Cloud; candidates must demonstrate working knowledge across all three platforms, not just one, as this role spans the full GCX technology stack
• Proven experience managing Salesforce Experience Cloud portals in a B2B environment, including portal user management, content configuration, and branding
• Deep proficiency with Salesforce declarative automation tools (Flow, approval processes, validation rules, assignment rules); familiarity with Process Builder migration to Flow
• Experience designing and delivering cross-functional dashboards and reports that drive operational decisions at the leadership level
• Certified Salesforce Administrator required; Advanced Administrator, Platform App Builder, Experience Cloud Consultant, or Service Cloud Consultant certifications preferred
• Experience working in or supporting B2B SaaS, fintech, or order-to-cash environments preferred
• Demonstrated ability to operate effectively in a matrixed organization, partnering closely with Sales Ops and IT as primary cross-functional stakeholders — balancing local GCX business needs with enterprise platform standards and shared governance models
• Familiarity with integration platforms (e.g., Boomi, MuleSoft) and data tools (SQL, SOQL, Data Loader) for managing cross-system data flows
• Understanding of basic Apex, Visualforce, or Lightning Web Components sufficient to troubleshoot, extend, or collaborate with developers on custom solutions
• Strong requirements-gathering and stakeholder management skills, with the ability to translate complex operational needs into intuitive platform solutions
• Experience with DevOps and release management practices, including sandbox strategy and deployment tooling (e.g., Copado, Gearset)
• Active engagement in the Salesforce ecosystem, including Trailhead certifications, community participation, and awareness of platform roadmap developments
• Familiarity with Salesforce Einstein features, Agentforce, or AI-assisted workflow tools, and a demonstrated interest in applying them to customer lifecycle operations
• Demonstrated experience driving Salesforce adoption across cross-functional teams, bringing business teams along by translating platform capability into workflows that people use
• Bachelor’s degree or equivalent professional experience

About the role: 

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. 

Required skills

• 8 + years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
• 1+ year of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
• Expert in architecting GenAI applications/systems using various frameworks & cloud services
• Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Experience in driving the engineering team toward a technical roadmap.
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

• Build the technical roadmap given a business requirement and own the delivery of the same.
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. 
• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Education

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.