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

Job Summary:

We are looking for a Senior Software Engineer to build production-level reference architecture applications.The ideal candidate will be skilled in building back-end applications in AWS using Java, Springboot, Kubernetes, Kafka, Mongo, understands API and microservice concepts, built DR capabilities, and has utilized AI in generating code and tests. On the front-end, knowledge of Angular and Micro-Frontend approaches are ideal.

Qualifications:

• 5+ years of experience designing and implementing technological solutions using Java and SpringBoot within cloud environments
• Proficiency in Frontend WebApp development building SPA applications in Angular and deploying via AWS CloudFront
• Experience building sync/async/batch back-end microservices.
• Expertise in using AWS services like CloudFront, S3, SQS, Secrets Manager, KMS, API Gateway, IAM, EKS, ECS
• Proficient at debugging full-stack issues including AWS cloud network, access or configuration issues
• Kubernetes expertise running and debugging and optionally in admin/setup of clusters.
• 1+ years Mongo/Atlas experience
• Experience using Kafka
• Experience in designing, building and documenting APIs (i.e. OpenAPI) and building REST and/or GraphQL endpoints and using API Gateways
• Experienced with DR site fail-over, turn-away concepts and DR testing
• Proficiency using AI to generate code, unit test/code coverage and API tests
• Quality engineering experience running API, performance and scalability tests
• Experienced working within Agile SDLC environments (Kanban or Scrum)

Knowledge, Skills, and Abilities

• Good communication skills and collaborates well
• Responsible and trusted employee that raises questions and concerns early and often.
• Comfortable working in an Agile fast-paced environment
• Self-motivated and self-sufficient and is willing to learn and work in environment with only directional guidance and minor hand-holding Strong project management skills, with experience delivering complex automation initiatives.

Role: Manager, Software Engineering
Location: Hyderabad, India (Hybrid)
Department: Product Engineering
Reports to: Director of Engineering

About GHX:
GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities.

Website: https://www.ghx.com/
LinkedIn: https://www.linkedin.com/company/ghx/

About the Role

We're seeking a hands-on Software Engineering Manager to lead a Software Development team with day-to-day technical leadership responsibilities. Working closely with other Development teams, this role executes the company's technical, architectural, and commercial product initiatives by taking an active role with the team. The Manager will be responsible for both technical roadmap/design and people management.

A successful candidate in this role would assume leadership in delivering customer outcomes with a focus on building modern delivery pipelines in a high-availability platform. This role will lead a high-impact team through the product development lifecycle by being an active contributor of production-quality code, with up to 70% of their time focused on research, development, system designs, and architectural reviews. This role works in an Agile environment, collaborating with the team to lead continuous improvement using data-driven decisions through iterative development.

Responsibilities

• Lead by example: Hands-on in design, coding, and shipping high-quality software using Angular, Node.js, JavaScript, and Java (back end) on AWS services like Lambda, EC2, S3, and SQS.
• Strong foundation in Spring frameworks and data layers like MongoDB, PostgreSQL, Elasticsearch, etc.
• Champion and educate the organization on Agile best practices, new frameworks, processes, architectural standards, design patterns, and solutions.
• Ensure engineering excellence by having sound knowledge of Microservices, security, and containerization.
• Collaborate with Development, Product, and Architecture teams to drive the software development lifecycle, iterating quickly to deliver high-impact solutions to Production with high quality.
• Ensure engineering excellence by adherence to standards around robustness, resiliency, high availability, scaling, and utilization of modern delivery pipelines.
• Plan and execute a timely release process with all stakeholders, including necessary communication.
• Mentor and grow developers through coaching, feedback, and amplifying the technical vision from the Enterprise Architecture team.
• Establish roadmaps and resourcing needs across multiple teams.
• Balance speed and quality by utilizing industry-standard measurements such as Cycle Time, Lead Time to Change, and Deployment Frequency to identify roadblocks. Ensure the proper technical design required to positively impact measurements.
• Assess risks and dependencies and hold teams accountable to high standards by leading by example.
• Drive incident response for the team, including on-call coverage, technical response, and providing technical resolution to production issues.

Required Experience

• Computer Science degree with related experience.
• 8+ years of software development management experience.
• Excellent understanding of AWS services (e.g., EC2, EKS, Lambda, S3, RDS, API Gateway).
• Strong understanding of system design, scalability, microservices, and distributed architectures.
• Experience designing external-facing UI applications, SSO integration, secure systems, and APIs.
• Experience designing high-availability, fault-tolerant, and secure systems.
• Practical experience with GitHub Actions, CI/CD, or other automation tools.
• Familiarity with UI, backend, and API development and their integration.
• Proven ability to mentor engineers and conduct thoughtful, constructive code reviews.
• Experience being the technical lead on a team that produces high-quality deliverables.

Nice to Have

• Strong knowledge of DB concepts and data analysis experience with expertise in data-driven decision making.
• Hybrid mobile app development experience with Ionic or Cordova.
• SDLC experience across AI development lifecycles.
• Familiarity with modern AI concepts: LLMs, Agentic AI, MCP, and Copilot development.
• Knowledge of cloud monitoring and observability tools.

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

Role: Manager, Software Engineering
Location: Hyderabad, India (Hybrid)
Department: Product Engineering
Reports to: Director of Engineering

About GHX:
GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities.

Website: https://www.ghx.com/
LinkedIn: https://www.linkedin.com/company/ghx/

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

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.

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’re looking for a senior-level automation engineer who will help raise the bar on release quality, environment reliability, and change safety across Cohere’s platform. You’ll partner closely with Product, Engineering, Platform, and SRE to build scalable automation, guardrails, and validation systems that reduce production risk while increasing delivery velocity.

This is not a “test scripts only” role. You’ll shape automation strategy, embed quality into the SDLC, and help define how changes move safely from dev → staging → UAT → prod in a fast-moving healthcare platform. 

You’ll help define how quality scales as Cohere grows. This role has real influence over release safety, platform reliability, and how engineering teams ship software in a regulated, high-impact domain. You won’t just test features — you’ll shape how Cohere delivers them safely to production.

What you’ll do:

• Own and evolve Cohere’s end-to-end test automation strategy across UI, API, config changes, and critical workflows
• Design and maintain scalable E2E automation frameworks for multi-tenant, payer-specific workflows
• Build automated validation for deployment guardrails, release readiness, and production change safety
• Partner with Platform/DevOps to integrate automation into CI/CD pipelines and deployment workflows
• Create automated coverage for high-risk paths (authorization flows, partner integrations, file pipelines, feature flags, config changes)
• Drive test reliability, flake reduction, and actionable failure signals
• Define and enforce quality gates for prod releases, blue/green and canary deployments, and config changes
• Collaborate with Product and Engineering to ensure business outcomes are testable, measurable, and observable
• Improve test data management and environment stability to enable reliable automation at scale
• Mentor engineers on testability, automation best practices, and quality-first development
• Partner with SRE and Security to ensure production readiness, observability, and compliance expectations are met
• Apply AI-assisted tooling to accelerate test creation and expand coverage for high-risk user flows, integrations, and configuration-driven behavior
• Use AI to analyze automation failures and production incidents to reduce flaky tests and prioritize new test coverage around real failure patterns

Required Qualifications:

• 6+ years in QA Automation, SDET, or test engineering roles supporting production systems
• Strong hands-on experience building automation frameworks for UI and API testing from the ground up, and setting up repeatable datasets
• Deep experience with modern E2E frameworks (Playwright or Cypress) using TypeScript
• Strong API automation experience (REST-based testing frameworks)
• Strong CI/CD experience (GitHub Actions or similar)
• Experience validating cloud-native systems on AWS
• Comfortable working in microservices and event-driven architectures
• Experience testing configuration-driven systems, feature flags, and environment-specific behavior
• Strong debugging skills across frontend, backend, and infrastructure layers
• Proven ability to partner with platform / infra teams on release pipelines and deployment safety

Nice-to-haves

• Performance and reliability testing experience (e.g., k6 or similar)
• Healthcare or regulated domain experience

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.

Opportunity Overview:

The Lead DevOps Engineer will work closely with Cohere engineers to plan, deploy, and support high-availability solutions. The successful candidate will implement and manage tools supporting Cohere’s engineering teams and infrastructure, coach junior engineers on DevOps best practices and tools. Additionally, they will be responsible for ensuring Cohere maintains a disciplined approach to healthcare security. The candidate should have proven experience across a range of DevOps capabilities such as log aggregation, CI/CD, Linux, Docker, and Kubernetes, as well as experience with cloud infrastructure provisioning, management, and automation technologies such as Terraform, CloudFormation, Chef, and Puppet. Finally, the candidate should be passionate about building quality products, have strong technical skills in areas of Linux system administration, networking, and application deployment/maintenance, and be experienced with at least one scripting language and monitoring systems.

What you’ll do:

• Work closely with Cohere engineers to plan, deploy, and support high-availability solutions
• Implement and manage tools supporting Cohere’s engineering teams and infrastructure including monitoring and alerting, CI/CD,  and version control
• Automate the compilation, testing, packaging, and release of Cohere’s software platform
• Coach Cohere engineers on devops best practices and tools
• Continuously discover, evaluate, and implement new technologies or services to maximize development efficiency
• Actively participate in ensuring Cohere maintains a disciplined approach to healthcare security
• Work with management to create and drive the DevOps roadmap
• Partner with management on cloud infrastructure cost optimization
• Run quarterly Disaster Recovery exercise

Required Qualifications:

• Minimum of 5 years of experience in DevOps practices and cloud infrastructure management
• Experience designing and managing highly scalable production infrastructure in a highly regulated environment
• Experience advocating for modern infrastructure management and are compelled to automate early and often
• Experience across a range of DevOps capabilities such as log aggregation, CI/CD, Linux, Docker and Kubernetes
• Experience developing and managing continuous integration / continuous deployment pipelines using tools such as Jenkins and Github Actions
• Hands on cloud platform experience with a strong preference for AWS
• Experience with cloud infrastructure provisioning, management and automation technologies (Terraform, Cloudformation, Chef, Puppet, etc)
• Strong technical skills in areas of Linux system administration, networking, and application deployment/maintenance
• Experience with at least one scripting language (shell, Ruby, Python, Perl, Go, etc)
• Database administration experience with at least one of the database paradigms.
• Experience with monitoring systems

Ability to commute/relocate:

• 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. Live Design or Coding Session 
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

As the Manager, Machine Learning & Data Science, you will play a key role in building and scaling Cohere Health’s AI capabilities in India. You’ll lead a team of machine learning engineers and data scientists focused on developing and deploying models that automate and augment complex clinical and administrative workflows.

This team is responsible for the full lifecycle of applied machine learning and data science—from problem framing and experimentation to production model deployment and ongoing optimization. You’ll work with structured and unstructured healthcare data to generate insights and power intelligent systems that improve prior authorization and broader clinical decision-making.

As a player-coach, you’ll combine hands-on technical contributions with team leadership, helping to establish best practices, mentor team members, and drive high-impact solutions in close partnership with Product, Engineering, Clinical, and Analytics stakeholders. This is an opportunity to shape both the technical direction and team culture within a growing global organization.

What you’ll do:

• Lead, mentor, and develop a team of machine learning engineers and data scientists, fostering a collaborative, high-performance environment
• Act as a hands-on contributor across the ML/DS lifecycle, including data exploration, feature engineering, model development, evaluation, and deployment
• Design, develop, and deploy machine learning models for retrieval, classification, and generative use cases across structured and unstructured data
• Translate complex business and clinical problems into scalable machine learning and data science solutions
• Establish and uphold best practices for experimentation, model validation, performance tracking, and reproducibility
• Partner cross-functionally with Product, Engineering, Clinical, and Analytics teams to align solutions with business priorities
• Guide the development of scalable data science and machine learning systems, including data preprocessing pipelines and production workflows
• Monitor model performance, identify opportunities for improvement, and drive continuous iteration and optimization
• Communicate technical concepts, methodologies, and insights clearly to both technical and non-technical stakeholders
• Contribute to hiring and scaling the team in India, including recruiting, onboarding, and coaching team members 

What you’ll need:

Must-haves

• Minimum 8+ years of experience in machine learning, data science, or applied AI roles, of those a minimum 2+ years of experience must be leading technical teams
• Strong hands-on experience building, evaluating, and deploying machine learning models in production
• Solid foundation in statistical methods, experimental design, and model evaluation
• Proficiency in Python and experience with ML frameworks (e.g., PyTorch, scikit-learn)
• Experience working with large, complex datasets (structured and/or unstructured)
• Strong problem-solving skills with the ability to translate business challenges into analytical solutions
• Excellent communication skills, with the ability to present complex concepts clearly to diverse stakeholders
• Experience working in fast-paced, evolving environments

Nice-to-haves

• Experience in healthcare, particularly with payer, provider, or clinical data
• Experience with NLP, deep learning (e.g., transformers), or generative AI (e.g., RAG)
• Familiarity with MLOps practices and production ML systems
• Experience with Spark or large-scale data processing frameworks
• Exposure to cloud platforms (e.g., AWS, SageMaker)
• Experience working in a global or distributed team environment
• Prior experience in a GCC or building teams in India

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.

Position Overview 

We are seeking a Technical Product Manager to drive technical requirements and RAN product specifications & solutions for gateway site installation, aligning engineering needs, regulatory constraints, and deployment workflows to enable compliant, commercially viable, and scalable satellite-gateway locations. This role serves as the critical bridge between technical engineering teams, regulatory affairs, commercial development, and site deployment operations to ensure gateway delivers production-ready infrastructure that meets both technical performance requirements and business objectives.

This position requires deep understanding of satellite ground infrastructure, RAN solutions, RF propagation considerations, regulatory compliance frameworks, and site engineering requirements. The ideal candidate will bring proven experience in technical product management within satellite communications infrastructure, with specific expertise in gateway site development, regulatory coordination, and cross-functional technical program management.  

Key Responsibilities 

Technical Requirements & Product Specifications 

• Define comprehensive technical requirements for gateway site acquisition including RF performance criteria, RAN infrastructure specifications, and integration compatibility standards 

• Manage product and deployment requirements for RAN network related hardware 

• Own configuration standards, templates, and governance to ensure consistency across Gateway sites constraints and deployment workflow requirements 

• Coordinate and validate BOMs with Engineering, Supply Chain, and vendors for completeness and accuracy 

• Establish technical validation criteria and acceptance standards for RAN network at Gateway location

• Ensure CIQs, configuration guides, port mappings, and as-built documentation are complete and deployment-ready 

• Coordinate technical requirements gathering sessions with engineering stakeholders, site development teams, and operations personnel 

• Ensure technical specifications support scalable satellite-gateway location development across diverse geographical environments 

• Enable smooth technical handover to Service Acceptance and Operations, ensuring documentation completeness and traceability 

• Support change control by ensuring updates reflected across HLDs, BOMs, configurations, and documentation 

Site Feasibility & Validation Management 

• Lead technical site feasibility assessments including RF propagation analysis, interference studies, and infrastructure capability evaluations for RAN network deployment 

• Validate site feasibility against established technical criteria, and operational deployment standards 

• Coordinate multi-disciplinary feasibility studies involving RF engineering, utilities assessment, and regulatory compliance teams 

• Manage technical risk assessments and mitigation strategies for site acquisition projects 

• Establish standardized feasibility validation processes and documentation frameworks 

Cross-Functional Engineering Coordination 

• Coordinate engineering inputs from RF engineering, satellite systems, network operations, and infrastructure development teams 

• Facilitate technical collaboration between site acquisition teams and broader satellite network engineering organization 

• Ensure consistent engineering standards and technical approaches across multiple gateway site development projects for RAN network 

• Drive technical decision-making processes involving multiple engineering disciplines and stakeholder groups 

• Enable smooth technical handover to Service Acceptance and Operations, ensuring documentation completeness and traceability 

Documentation & Delivery Standards Management 

• Manage comprehensive technical documentation for gateway site including requirements specifications, RAN Rack layout design standards, and validation procedures 

• Ensure site acquisition outputs meet integration, build, and commercial-ready gateway delivery standards 

• Establish and maintain technical documentation standards and configuration management processes 

• Maintain technical traceability from requirements through final delivery and commissioning 

Technical Program Management & Process Optimization 

• Develop and optimize technical workflows for gateway site acquisition from RAN network prospects, including requirements definition, feasibility assessment, and delivery validation processes 

• Drive continuous improvement initiatives for technical processes, tools, and methodologies 

• Coordinate technical resource allocation and capacity planning for site acquisition programs  

Qualifications 

Education 

• Bachelor's degree in Electrical Engineering, Telecommunications Engineering, Systems Engineering, or related technical field 

• Master's degree in Engineering Management, Systems Engineering, or advanced technical discipline preferred 

Experience 

• Minimum 8+ years in satellite communications, telecommunications infrastructure, or wireless network engineering 

• Minimum 5 years’ relevant experience in RAN engineering, telecom site acquisition, or technical product management supporting ground facilities 

• Demonstrated experience producing or validating site engineering deliverables: site survey reports, RF/site feasibility and integration acceptance criteria 

• Strong written communication and technical documentation skills for creating ICDs, acceptance plans and status reports 

• Ability and willingness to travel domestically to candidate and active gateway sites as required for surveys, permitting meetings, and commissioning 

Required Technical Expertise 

• Deep understanding of satellite ground segment architecture, gateway systems, and RF infrastructure requirements 

• Hands on experience of eNB hardware and RAN architecture design 

• Strong knowledge of satellite communications link budgets, antenna systems, and RF propagation characteristics 

• Proven ability to translate complex technical requirements into actionable product specifications and delivery criteria 

• Experienced on CIQ handling and deployment documentation workflows 

Preferred Qualifications 

• Background in technical product management roles at satellite operators, ground infrastructure providers, or telecommunications companies 

• Experience with technical project management methodologies and cross-functional technical program coordination 

• Familiarity with 4G/ 5G NTN standards, satellite-cellular integration, and next-generation satellite communications architectures 

Leadership & Communication Skills 

• Strong technical leadership with ability to influence and coordinate across multiple engineering disciplines 

• Exceptional communication skills for presenting complex technical requirements to diverse stakeholder audiences 

• Proven ability to manage technical programs involving regulatory agencies, engineering teams, and commercial stakeholders 

• Experience building scalable technical processes and product management frameworks 

• Demonstrated success in technical decision-making and conflict resolution across cross-functional teams 

Technology Stack 

• Proficiency with technical documentation systems, requirements management tools, and project management platforms 

• Experience with RF simulation tools, link budget analysis software, and satellite communications modelling systems 

• Knowledge of geographic information systems (GIS) and site assessment tools commonly used in telecommunications infrastructure development  

Physical Requirements 

• Role will be based in India

• Regular travel for site assessments, technical meetings, and stakeholder coordination (~25-30%) 

• Ability to participate in field site evaluations including outdoor assessments at potential gateway locations 
• Ability to work across global time zones and participate in remote review sessions.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview

We are looking for a Cloud Support Engineer - Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Cloud Support Engineer (IC2) at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Cloud Support Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments.
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers (IC3/IC4) and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

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

#LI-Hybrid 

Position Overview

We are looking for a Cloud Support Engineer - Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Cloud Support Engineer (IC2) at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Cloud Support Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments.
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers (IC3/IC4) and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

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

#LI-Hybrid 

We are looking for a Customer Success Engineer II - Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer II at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations contributing to root cause analysis and resolution
• Analyze customer architectures to identify improvement opportunities and recommend best practices
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

Required Experience & skills

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

JR: [2026-7645]

*This job is located in Hyderabad, India

#LI-Hybrid

We are looking for a Senior Customer Success Engineer I – Kubernetes who is passionate about cloud infrastructure, container orchestration, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Senior Customer Success Engineer I at DigitalOcean, you will play a critical role in supporting and empowering customers to successfully run production workloads on Kubernetes. You will work closely with customers to troubleshoot complex issues, optimize cluster performance, and guide them in adopting best practices across Kubernetes and cloud-native architectures.

In this role, you will bring deep technical expertise in Kubernetes and act as an escalation point for complex, business-critical customer scenarios. You will collaborate cross-functionally with Product and Engineering to drive customer outcomes, influence platform improvements, and mentor junior engineers. This role reports to the Manager, Customer Success Engineer.

What You'll Do

• Deliver advanced technical support for Kubernetes and cloud infrastructure, including cluster provisioning, container products, networking, scaling, workload orchestration, and container registry.
• Troubleshoot complex production issues affecting cluster performance, pod scheduling, ingress, storage, and security
• Guide strategic customers through onboarding, migrations, and adoption of Kubernetes, helping them design scalable, resilient, and secure architectures while ensuring smooth production readiness and resolving complex escalations.
• Serve as the escalation point for high-impact and business-critical Kubernetes issues, driving resolution through coordination with Engineering, and Product teams
• Guide customers in designing scalable, resilient, and secure Kubernetes architectures on DigitalOcean
• Mentor IC1/IC2 engineers and drive team growth by contributing to documentation, playbooks, and leverage automation tools to optimize workflows and knowledge sharing
• Partner cross-functionally with leadership, Product, and Engineering to shape support strategy, feature needs, and best practices for Managed Kubernetes.
• Use observability and monitoring tools to diagnose system behavior and performance bottlenecks

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

Required Experience & skills

• 4–7+ years of experience in technical support, SRE, DevOps, or cloud engineering roles
• Certified Kubernetes Administrator (CKA) with hands-on expertise in managing and troubleshooting production clusters.
• Strong hands-on experience with Kubernetes (cluster management, deployments, troubleshooting) in production environments
• Deep understanding of Kubernetes components (API server, etcd, scheduler, controller manager, kubelet.)
• Solid foundation in Linux systems, cloud infrastructure, and distributed systems
• Strong knowledge of networking concepts including Kubernetes networking, ingress controllers, load balancing, and storage solutions (persistent volumes, CSI drivers)
• Expertise in troubleshooting across application, container, and infrastructure layers
• Customer-first mindset with the ability to manage high-pressure, business-critical situations and delivering great support experiences
• Strong communication skills with the ability to explain complex technical concepts clearly
• Ability to work independently, take ownership, and collaborate across teams in a fast-paced environment

Preferred Qualification:

• Experience with managed Kubernetes platforms (DOKS, EKS, GKE, AKS) and multi-cloud or hybrid environments
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Experience with CI/CD pipelines and GitOps workflows (ArgoCD, Flux)
• Exposure to observability and monitoring tools (Prometheus, Grafana, Loki, OpenTelemetry)
• Knowledge of Kubernetes security best practices (RBAC, network policies, secrets management)
• Contributions to open-source projects, blogs, or documentation in Kubernetes/cloud-native ecosystems
• At least one of the Advanced Kubernetes certifications (CKAD, CKS)

Bonus: Experience with one or more programming/scripting languages (Go, Python, Bash)

JR: [2026-7644]

#LI-Hybrid

Position Overview:

We are seeking an inspired and motivated technical contributor to join the DigitalOcean Security Team as an Infrastructure Security Engineer. You will report to the Security Engineering Manager for the APAC region and will be a key member of DigitalOcean’s security team. In this role, you will play an essential part in enhancing DigitalOcean's security posture. This includes collaborating with various Engineering and Security teams to:

• Design and implement infrastructure security solutions at scale
• Identify and mitigate security issues, vulnerabilities, and misconfigurations for both internal users and customers

Your efforts will provide security instrumentation and establish secure architectures within DigitalOcean’s environments, both corporate and customer-facing.

What You’ll Do:

• Establishing an understanding of DigitalOcean’s production and corporate environments, from applications to infrastructure, keeping up-to-date with material changes and future directions
• Partnering closely with the other technical teams within the Security Organization and across our engineering and other functions to harden accounts, platforms, and service structures to combat intrusions, hijackings, and potential compromises
• Developing early warning systems to detect, respond, and mitigate risks to the business as well as the customer environment
• Develop, maintain, and monitor the adoption of sound Cloud security practices
• Ownership of vulnerability management and patching policies of Virtual machines, Containers and Kubernetes infrastructure
• Identify and help mitigate security issues and misconfigurations related to Cloud services, Virtual machines, Containers and Kubernetes infrastructure
• Ownership and management of preventative security measures and services such as WAF, SIEM and similar security solutions.
• Consistently improving security as the company scales, driving continuous improvement through data collection and correlation, being mindful that security should be an efficiency enabler for the business, not a detractor
  
  

What You’ll Add to DigitalOcean:

• 5+ years of experience in cloud and infrastructure security, with hands-on expertise in building automated detection and remediation workflows, enforcing security policies, hardening container and Kubernetes environments, and managing security monitoring across Linux-based, multi-cloud, and multi-tenant architectures.
• Vulnerability Management experience, focused on prioritizing known vulnerabilities for remediation at scale and classifying previously unknown vulnerabilities
• Strong understanding of Linux systems and common O/S hardening practices
• Hands-on experience with cloud service providers. Amazon Web Services (AWS) is a core requirement, while familiarity with Google Cloud Platform (GCP) is a strong advantage. Focus areas include security issues and misconfigurations across cloud services, virtual machines, containers, and Kubernetes infrastructure.
• Strong understanding of systems in a multi-tenant, cloud environment
• Clear written and verbal communication skills to include: technical writing, presenting, coaching, mentoring
• Bonus: Experience in one or more of the following areas:
• Infrastructure as code 
• Configuration as Code software and methods (eg, Chef, Salt, Ansible)
• Software Development background

*This job is located in Bengaluru, India

#LI-Hybrid

Position Overview:

We are seeking an inspired and motivated technical contributor to join the DigitalOcean Security Team as an Infrastructure Security Engineer. You will report to the Security Engineering Manager for the APAC region and will be a key member of DigitalOcean’s security team. In this role, you will play an essential part in enhancing DigitalOcean's security posture. This includes collaborating with various Engineering and Security teams to:

• Design and implement infrastructure security solutions at scale
• Identify and mitigate security issues, vulnerabilities, and misconfigurations for both internal users and customers

Your efforts will provide security instrumentation and establish secure architectures within DigitalOcean’s environments, both corporate and customer-facing.

What You’ll Do:

• Establishing an understanding of DigitalOcean’s production and corporate environments, from applications to infrastructure, keeping up-to-date with material changes and future directions
• Partnering closely with the other technical teams within the Security Organization and across our engineering and other functions to harden accounts, platforms, and service structures to combat intrusions, hijackings, and potential compromises
• Developing early warning systems to detect, respond, and mitigate risks to the business as well as the customer environment
• Develop, maintain, and monitor the adoption of sound Cloud security practices
• Ownership of vulnerability management and patching policies of Virtual machines, Containers and Kubernetes infrastructure
• Identify and help mitigate security issues and misconfigurations related to Cloud services, Virtual machines, Containers and Kubernetes infrastructure
• Ownership and management of preventative security measures and services such as WAF, SIEM and similar security solutions.
• Consistently improving security as the company scales, driving continuous improvement through data collection and correlation, being mindful that security should be an efficiency enabler for the business, not a detractor
  
  

What You’ll Add to DigitalOcean:

• 5+ years of experience in cloud and infrastructure security, with hands-on expertise in building automated detection and remediation workflows, enforcing security policies, hardening container and Kubernetes environments, and managing security monitoring across Linux-based, multi-cloud, and multi-tenant architectures.
• Vulnerability Management experience, focused on prioritizing known vulnerabilities for remediation at scale and classifying previously unknown vulnerabilities
• Strong understanding of Linux systems and common O/S hardening practices
• Hands-on experience with cloud service providers. Amazon Web Services (AWS) is a core requirement, while familiarity with Google Cloud Platform (GCP) is a strong advantage. Focus areas include security issues and misconfigurations across cloud services, virtual machines, containers, and Kubernetes infrastructure.
• Strong understanding of systems in a multi-tenant, cloud environment
• Clear written and verbal communication skills to include: technical writing, presenting, coaching, mentoring
• Bonus: Experience in one or more of the following areas:
• Infrastructure as code 
• Configuration as Code software and methods (eg, Chef, Salt, Ansible)
• Software Development background

*This job is located in Hyderabad, India

#LI-Hybrid

Role and Responsibilities

Role: Responsible for development and implementation of new and revised pharmaceutical drug product labeling for both pipeline and commercial products across global market (including FDA, EMA, Health Canada, GCC, APAC, LATAM, and other emerging regions) ensuring compliance with applicable regulations, guidelines, and company standards.

Key Responsibilities

• Oversee regulatory labeling activities across the entire product lifecycle from development through post-approval, ensuring timely submissions and adherence to international health authority requirements.
• Act as a subject matter expert for global labeling regulations, standards and best practices.

 Responsibilities: 

• Initiate and monitor the process for new and revised labeling requests according to internal procedures.
• Prepare and update labeling components such as SmPC, PIL, USPI, carton/container labels, and electronic formats (e.g., SPL, XML) for global submissions.
• Ensure regulatory compliance, accuracy, and version control of all new and revised labeling.
• Coordinate, monitor, and expedite labeling changes to meet established deadlines for HA submission and/or production schedules.
• Coordinating with artworks preparations team for development of label / cartons / package insert for submission purposes.
• Initiate and approve change controls for new and revised labeling.
• Participate in Azurity’s Labeling Management Review Committee (LMRC) weekly meetings to finalize and approve labeling.
• Develop collaborative and respectful relationships with internal and external customers, including but not limited to, Packaging Operations, Marketing, Medical Affairs, Regulatory Affairs, Supply Chain, and artwork and print vendors to develop labeling.
• Monitor and update the labeling tracker to ensure timely progress and adherence to project timelines.
• Monitor global regulatory changes, guidance documents, and safety updates that impact product labeling.
• Archive controlled label copies and master label files according to internal procedures.

Required Skills and Experience

• Ability to read, understand, and follow HA regulations and guidance documents related to labeling.
• Proven experience collaborating within cross-functional teams to achieve shared objectives.
• Strong attention to detail and ability to meet deadlines
• Highly skilled at prioritizing and managing multiple tasks simultaneously.
• Strong interpersonal skills and an effective communicator (phone, email, web-ex, video, in person)
• Strong sense of teamwork, ability to build collaborative relationships.
• Adept at identifying, addressing, and escalating issues promptly to ensure resolution.
• Familiar with Regulatory Information Management (RIM) systems like Veeva Vault and/or similar platforms.
• Ability to work with large datasets and detailed documentation.

Preferred Qualifications

• 8-12 years of pharmaceutical labeling experience.
• Bachelor’s/ Master’s degree in scientific discipline preferred.

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

WHO YOU ARE:

You are a Techno-functional Product Manager with 5+ years of Product Management experience who thrives at the intersection of technology and business. You will be responsible for driving product initiatives, managing integrations, and collaborating closely with cross-functional teams to deliver scalable and impactful solutions.

WHAT YOU’LL DO:

• Contribute into the execution of all product lifecycle processes for products, including product research, market research, competitive analysis, planning, positioning, roadmap development, requirements development, and product launch
• Analyse consumer needs, current market trends, and potential partnerships from an ROI and build vs. buy perspective
• Gain a deep understanding of existing systems, customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth
• Works with a cross-functional team to ensure fulfilment of product requirements, evaluates product performance and transition products from development to commercialization.
• Assists in determining product delivery and deployment dates for new product releases, feature and maintenance releases and regular corrective service or service pack releases.
• Assist in Developing and executing proposed business and technical solutions. Work with engineering teams to design and manage API integrations across platforms.
• Assist in the research and investigation of escalated production issues and engage teams for resolution
• Document business impact, research and resolution steps and long-term preventative measures via incident reports

WHAT YOU’LL NEED:

• A Bachelor’s/Master’s Degree with 5+ years’ work experience in Product Management or Business Analysis
• Good technical understanding of Product Development Lifecycle along with API integrations, SQL etc.
• Good understanding of technology system interfaces and data integration, networks, Client/Server and operating systems
• Knowledge of Business Process Modelling using decision tables/trees and data flows, etc.
• Strong customer service skills with excellent relationship management skills with the ability to interact positively and successfully across all levels of associates and managers to meet business needs
• Strong written, oral, and interpersonal communication skills
• Willingness to develop industry-related knowledge
• Analytical, organized with excellent written and verbal communication skills
• Must be a self-starter, flexible and motivated
• Great to have experience in BFSI Industry across Annuity, mutual funds, financial services, or life insurance

WHAT’S IN IT FOR YOU?

Zinnia offers excellent career progression and competitive compensation. We offer great benefits, including health/dental insurance, parental leave, profit sharing, PF, incentive/bonus opportunity, tuition reimbursement, and so much more. We’re looking for the best and brightest innovators in the industry to join our team. At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

_#LI-RS1

WHO YOU ARE:

You are a Techno-functional Product Manager with 5+ years of Product Management experience who thrives at the intersection of technology and business. You will be responsible for driving product initiatives, managing integrations, and collaborating closely with cross-functional teams to deliver scalable and impactful solutions.

WHAT YOU’LL DO:

• Contribute into the execution of all product lifecycle processes for products, including product research, market research, competitive analysis, planning, positioning, roadmap development, requirements development, and product launch
• Analyse consumer needs, current market trends, and potential partnerships from an ROI and build vs. buy perspective
• Gain a deep understanding of existing systems, customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth
• Works with a cross-functional team to ensure fulfilment of product requirements, evaluates product performance and transition products from development to commercialization.
• Assists in determining product delivery and deployment dates for new product releases, feature and maintenance releases and regular corrective service or service pack releases.
• Assist in Developing and executing proposed business and technical solutions. Work with engineering teams to design and manage API integrations across platforms.
• Assist in the research and investigation of escalated production issues and engage teams for resolution
• Document business impact, research and resolution steps and long-term preventative measures via incident reports

WHAT YOU’LL NEED:

• A Bachelor’s/Master’s Degree with 5+ years’ work experience in Product Management or Business Analysis
• Good technical understanding of Product Development Lifecycle along with API integrations, SQL etc.
• Good understanding of technology system interfaces and data integration, networks, Client/Server and operating systems
• Knowledge of Business Process Modelling using decision tables/trees and data flows, etc.
• Strong customer service skills with excellent relationship management skills with the ability to interact positively and successfully across all levels of associates and managers to meet business needs
• Strong written, oral, and interpersonal communication skills
• Willingness to develop industry-related knowledge
• Analytical, organized with excellent written and verbal communication skills
• Must be a self-starter, flexible and motivated
• Great to have experience in BFSI Industry across Annuity, mutual funds, financial services, or life insurance

WHAT’S IN IT FOR YOU?

Zinnia offers excellent career progression and competitive compensation. We offer great benefits, including health/dental insurance, parental leave, profit sharing, PF, incentive/bonus opportunity, tuition reimbursement, and so much more. We’re looking for the best and brightest innovators in the industry to join our team. At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

_#LI-RS1

About the Role

Workato is looking for a Principal Technical Architect, AI to join as a Field Specialist operating at the intersection of applied AI engineering and customer-facing technical strategy. This is a dual-mandate role with an approximately equal split:

Mandate 1 – AI Field Specialist (Customer-facing): You will work directly with enterprise customers and prospects in pre-sales and post-sales engagements to define and architect their AI strategies on Workato. This includes designing agentic automation solutions, advising on the latest approaches and best practices, scoping AI agent implementations, and helping customers move from proof-of-concept to production-grade autonomous systems.

Mandate 2 – Agentic CS Platform (Internal initiative): You will be a core architect and developer on Workato's autonomous Customer Success agent initiative, a production-grade system that captures complete customer context to support reasoning, and compounds intelligence over time. You will own the agent and memory architecture, evals and learning loop, and autonomy framework that power this system.

This is a role for someone who builds agentic systems to orchestrate LLMs into reliable, auditable, enterprise-grade agent architectures, and who can articulate that vision to a customer CIO and technical leaders as fluently as they can implement it in code.

Workato has a positive, diverse, and collaborative culture; we look for people who are curious, inventive, smart, hardworking, and who work to be a little better every day.

Responsibilities

AI Field Specialist

• Support as an expert AI architect in strategic enterprise engagements: roadmapping customer AI agent use cases and delivering technical deep-dives that demonstrate Workato's agentic capabilities.
• Lead architecture workshops with enterprise customers to define their AI automation strategy, including agent design, integration patterns, and governance frameworks.
• Advise customers on applied AI best practices: prompt engineering and agent orchestration patterns, evaluation and testing strategies for agent systems, confidence calibration, human-in-the-loop design, and continuous learning loops.
• Build reusable technical assets, such as reference architectures, solution blueprints, demonstration environments, and best-practice documentation, that enable the broader field team to position AI solutions.
• Develop and deliver technical collateral: architecture white papers, webinars, blog posts, conference talks, etc. that establish Workato's thought leadership in agentic automation.
• Partner with Product and Engineering to feed field insights back into the platform roadmap, ensuring customer-facing AI capabilities evolve based on real deployment patterns.
• Support global strategic accounts across the US, EMEA, and APAC geographies as needed for critical engagements.
• May require up to 20% global travel.

Agentic CS Platform

• Architect and implement core subsystems of the autonomous CS agent platform, including memory layers, the agent orchestration layer, and the decision trace architecture.
• Design and build a Customer Knowledge Graph as a structured, semantic network that models customers, users, policies, decisions, and operational artifacts as interconnected entities and relationships, enabling queryable representation of contextual states, and policy evaluations for governance, traceability, and decision optimization.
• Implement the confidence-based autonomy framework, including precedent matching, confidence scoring (precedent match, pattern recognition, data completeness, policy clarity), and policy-governed escalation routing.
• Define and design infrastructure architecture to ensure optimal performance and latency.
• Take scalable technology selection decisions.
• Establish evaluation frameworks: define metrics for decision quality, context accuracy, and learning velocity (autonomous threshold increases month over month).

Requirements

Qualifications & Experience

• B.Tech/BE or higher in Computer Science, Engineering, or related field. 
• 15+ years of total relevant experience in enterprise software architecture, design, and implementation.
• 8+ years of hands-on experience with Integration Platforms (MuleSoft, TIBCO, Oracle SOA, webMethods, or similar). Deep familiarity with iPaaS architecture patterns is essential.
• 2+ years of applied AI/Agents engineering experience, specifically in building systems that leverage LLMs and agent frameworks, orchestrating them into production applications.

Applied AI & Agent Architecture (Must-Have)

• Hands-on experience designing and building AI agent systems: multi-step reasoning pipelines, tool-use orchestration, and autonomous execution frameworks.
• Working knowledge of Python agent frameworks such as LangGraph, Claude Agent SDK, or equivalent. LangGraph experience with persisted state and human-in-the-loop patterns is strongly preferred.
• Experience with graph database design and implementation: entity modeling, relationship extraction, graph querying, and using graph structures for contextual retrieval. Neo4j/NetworkX equivalent experience is a plus.
• Practical experience with RAG architectures, vector databases, embedding strategies, and hybrid retrieval (vector + structured + graph).
• Understanding of evaluation and testing for AI systems: building evals, measuring agent quality, confidence calibration, A/B testing of prompts/pipelines, and regression testing for non-deterministic outputs.
• Familiarity with prompt engineering at production scale: structured prompting, chain-of-thought patterns, output parsing, retry/fallback strategies, and prompt versioning.
• Experience with observability for LLM systems: tracing, token/cost monitoring, and latency profiling. Familiarity with Langfuse, LangSmith, Phoenix, or similar tools.
• Experience with MCP (Model Context Protocol) standards for LLM-to-system integration.

Integration & Enterprise Architecture (Must-Have)

• Strong expertise in enterprise integration patterns: event-driven architectures, microservices orchestration, pub/sub messaging, and data synchronization.
• Deep working knowledge of APIs: RESTful, SOAP, webhooks, and data formats (JSON, XML).
• Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native services (Lambda/Functions, DynamoDB, Kafka/Kinesis, S3).
• Familiarity with enterprise applications: Salesforce, ServiceNow, SAP, Workday, NetSuite, or similar. Understanding how these systems participate in agentic workflows.
• Understanding of enterprise security and governance requirements: OAuth, SSO, data residency, SOX compliance, audit trails, and role-based access control.

Nice-to-Have

• Background in Customer Success platforms (Gainsight, ChurnZero) or CRM architecture.
• Prior experience in a customer-facing technical role (Solutions Architect, Field CTO, Technical Account Manager, or Pre-Sales Engineer) at a SaaS or platform company.
• Contributions to open-source AI/agent projects or published technical content in the applied AI space.

General Soft Skills

• Exceptional ability to communicate complex AI and architecture concepts to diverse audiences: from engineering teams to C-level executives: adapting depth and vocabulary to the room.
• Strong consultative instinct: able to listen to a customer's business problem, decompose it into architectural components, and propose a credible path forward in real-time.
• Entrepreneurial mindset with comfort operating in ambiguity: this role spans an internal build and an external advisory function, and requires someone who can context-switch and self-prioritize.
• Collaborative by default: able to work across Product, Engineering, Customer Success, Sales, and Marketing without needing formal authority.
• Excellent written communication: able to produce architecture documents, white papers, and technical briefs that are clear, precise, and persuasive.
• Fast learner who stays current with the rapidly evolving AI agent ecosystem and can distill emerging patterns into practical guidance.

(REQ ID: 2216)

ABOUT THE ROLE:

As an Engineering Manager at Tide,

• You’re an experienced Engineering Manager with strong technical and people-leadership skills, comfortable operating at scale and driving impact through well-designed platforms.
• You’ll lead the engineering delivery of our subscriptions platform across multiple markets, owning the technical direction and execution of systems that power subscription creation, pricing, lifecycle managements. You’ll focus on building scalable, resilient, and extensible platform capabilities that support growth and evolving business needs.
• You’ll manage and develop a team of engineers, setting clear technical standards and fostering a culture of ownership and continuous improvement. Partnering closely with Product and stakeholders across the business, you’ll turn product strategy into reliable platform solutions and ensure high-quality delivery across the full subscription lifecycle.
• You’ll be part of the Member Engagement Marketing (MEM) engineering group, working closely with Billing, Payments, Marketing, Data, and Finance teams. Together, you’ll deliver a robust and transparent subscriptions platform that enables seamless member experiences and long-term value.

WHAT WE ARE LOOKING FOR:

• Extensive experience (10+ years) building server-side applications and detailed knowledge of Java. 
• Sound knowledge of a backend framework (e.g. Spring/Spring Boot) 
• Experience with running microservices and implementing and consuming RESTful APIs
• Experience engineering scalable and reliable solutions in a cloud-native environment 
• A mindset of delivering secure, well-tested and well-documented software 
• Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
• Experience integrating with various third party providers and partners 
• Sound knowledge and experience working with relational databases. 
• Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly.
• Ability to communicate technical concepts to a non-technical audience 
• Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production.
• A technical hands on leader who is in the details of what the team is working on day to day.
• Experience leading teams
• Experience directly managing people.

OUR TECH STACK:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!) 
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable 
• Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users) 
• Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform 
• DataDog for monitoring, observability and automated SLOs
• GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week 
• Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
• Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management 

WHAT YOU’LL GET IN RETURN:

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

Tidean Ways of Working 

At Tide, we’re Member First and Data Driven, but above all, we’re One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We are remote first, but when you do want to meet new people, collaborate with your team or simply hang out with your colleagues, our offices are always available and equipped to the highest standard. We offer flexible working hours and trust our employees to do their work well, at times that suit them and their team.

ABOUT THE ROLE:

As an Engineering Manager at Tide,

• You’re an experienced Engineering Manager with strong technical and people-leadership skills, comfortable operating at scale and driving impact through well-designed platforms.
• You’ll lead the engineering delivery of our subscriptions platform across multiple markets, owning the technical direction and execution of systems that power subscription creation, pricing, lifecycle managements. You’ll focus on building scalable, resilient, and extensible platform capabilities that support growth and evolving business needs.
• You’ll manage and develop a team of engineers, setting clear technical standards and fostering a culture of ownership and continuous improvement. Partnering closely with Product and stakeholders across the business, you’ll turn product strategy into reliable platform solutions and ensure high-quality delivery across the full subscription lifecycle.
• You’ll be part of the Member Engagement Marketing (MEM) engineering group, working closely with Billing, Payments, Marketing, Data, and Finance teams. Together, you’ll deliver a robust and transparent subscriptions platform that enables seamless member experiences and long-term value.

WHAT WE ARE LOOKING FOR:

• Extensive experience (10+ years) building server-side applications and detailed knowledge of Java. 
• Sound knowledge of a backend framework (e.g. Spring/Spring Boot) 
• Experience with running microservices and implementing and consuming RESTful APIs
• Experience engineering scalable and reliable solutions in a cloud-native environment 
• A mindset of delivering secure, well-tested and well-documented software 
• Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
• Experience integrating with various third party providers and partners 
• Sound knowledge and experience working with relational databases. 
• Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly.
• Ability to communicate technical concepts to a non-technical audience 
• Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production.
• A technical hands on leader who is in the details of what the team is working on day to day.
• Experience leading teams
• Experience directly managing people.

OUR TECH STACK:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!) 
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable 
• Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users) 
• Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform 
• DataDog for monitoring, observability and automated SLOs
• GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week 
• Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
• Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management 

WHAT YOU’LL GET IN RETURN:

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

Tidean Ways of Working 

At Tide, we’re Member First and Data Driven, but above all, we’re One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We are remote first, but when you do want to meet new people, collaborate with your team or simply hang out with your colleagues, our offices are always available and equipped to the highest standard. We offer flexible working hours and trust our employees to do their work well, at times that suit them and their team.

ABOUT THE ROLE:

As an Engineering Manager at Tide,

• You’re an experienced Engineering Manager with strong technical and people-leadership skills, comfortable operating at scale and driving impact through well-designed platforms.
• You’ll lead the engineering delivery of our subscriptions platform across multiple markets, owning the technical direction and execution of systems that power subscription creation, pricing, lifecycle managements. You’ll focus on building scalable, resilient, and extensible platform capabilities that support growth and evolving business needs.
• You’ll manage and develop a team of engineers, setting clear technical standards and fostering a culture of ownership and continuous improvement. Partnering closely with Product and stakeholders across the business, you’ll turn product strategy into reliable platform solutions and ensure high-quality delivery across the full subscription lifecycle.
• You’ll be part of the Member Engagement Marketing (MEM) engineering group, working closely with Billing, Payments, Marketing, Data, and Finance teams. Together, you’ll deliver a robust and transparent subscriptions platform that enables seamless member experiences and long-term value.

WHAT WE ARE LOOKING FOR:

• Extensive experience (10+ years) building server-side applications and detailed knowledge of Java. 
• Sound knowledge of a backend framework (e.g. Spring/Spring Boot) 
• Experience with running microservices and implementing and consuming RESTful APIs
• Experience engineering scalable and reliable solutions in a cloud-native environment 
• A mindset of delivering secure, well-tested and well-documented software 
• Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
• Experience integrating with various third party providers and partners 
• Sound knowledge and experience working with relational databases. 
• Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly.
• Ability to communicate technical concepts to a non-technical audience 
• Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production.
• A technical hands on leader who is in the details of what the team is working on day to day.
• Experience leading teams
• Experience directly managing people.

OUR TECH STACK:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!) 
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable 
• Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users) 
• Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform 
• DataDog for monitoring, observability and automated SLOs
• GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week 
• Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
• Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management 

WHAT YOU’LL GET IN RETURN:

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

Tidean Ways of Working 

At Tide, we’re Member First and Data Driven, but above all, we’re One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We are remote first, but when you do want to meet new people, collaborate with your team or simply hang out with your colleagues, our offices are always available and equipped to the highest standard. We offer flexible working hours and trust our employees to do their work well, at times that suit them and their team.

About the role

We are looking for a Manager, Machine Learning and Data Science in the Hyderabad Area to lead and scale a team applying advanced Data Science and Machine Learning to a global digital entertainment platform. Our ecosystem spans paid VOD streaming, online Manga reading, Merchandising, Gaming, and Music Video experiences, all centered on deep user engagement and premium content consumption regarding the anime fandom.

In this role, you will manage a team of Machine Learning and AI Engineers, and Data Scientists focused on understanding content, user behavior, and product engagement, and turning those insights into actionable business insights and product features that offer personalized user experiences. You will partner closely with the Director of Data Science & Machine Learning (DSML) to scale both the team and the technical capabilities needed to support a growing, multi-product platform.

This role is ideal for a leader who combines strong technical judgment with people leadership, and who can guide teams from exploratory analysis to production-ready ML systems that directly impact customer experience and business outcomes.

Core Areas of Responsibility

• Lead, mentor, and develop a team of Machine Learning Engineers and Data Scientists, fostering a culture of technical excellence and accountability.
• Drive delivery of ML and analytics initiatives that enhance content discovery, personalization, user engagement, and cross-platform experiences.
• Provide technical oversight on modeling approaches, experimentation, and production readiness to ensure scalable and reliable solutions.
• Translate business objectives into clear ML roadmaps in partnership with Product, Engineering, and business stakeholders.
• Ensure insights and model outputs are effectively communicated to inform strategic and operational decisions.
• Establish and standardize best practices across experimentation, evaluation, deployment, and monitoring of ML systems.
• Identify opportunities to leverage data and ML across streaming, manga, gaming, merchandising, and music verticals.
• Partner with the Director of DSML to scale team capabilities, processes, and long-term technical strategy.

About You

Required Qualifications

• 5+ years of experience in Data Science, Machine Learning, or Applied Analytics
• 2+ years of experience leading or managing technical teams
• Strong understanding of ML systems applied to user behavior, content, or product analytics
• Experience delivering ML solutions that inform business decisions and/or power user-facing features
• Ability to guide technical design and evaluate trade-offs without being hands-on day-to-day
• Strong communication skills and comfort working with product and business stakeholders

Preferred Qualifications

• Experience in subscription-based digital products, media, streaming, gaming, or e-commerce
• Experience with personalization, recommendations, or engagement optimization
• Familiarity with ML platforms, data pipelines, and production ML workflows at scale
• Experience operating in a multi-product or platform environment and cross-timezone collaborations.
  
  

What Success Looks Like

• The team consistently delivers ML-driven insights and experiences that improve user engagement and satisfaction
• Personalized content and service offerings become more effective, measurable, and scalable

About the Team

You will join a fast growing team of Data Scientists, Machine Learning Engineers, and AI Engineers, united by a passion for leveraging data and AI to create transformative solutions. Our team delivers both consumer-facing product features that enhance the streaming experience for millions of users and stakeholder-oriented solutions that empower internal teams with actionable insights. From building personalized recommendation systems to developing innovative tools like our stakeholder-facing chatbot, we combine cutting-edge machine learning, robust data pipelines, and advanced AI to drive impact across the organization. Collaboration, creativity, and a commitment to excellence define our team’s culture as we work together to push the boundaries of what’s possible in streaming and data-driven decision-making.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

• Best-in class medical, dental, and vision private insurance healthcare coverage
• Access to counseling & mental health sessions 24/7 through our Employee Assistance Program (EAP)
• Free premium access to Crunchyroll
• Professional Development
• Company's Paid Parental Leave
• up to 26 weeks for birthing parents
• up to 12 weeks for non-birthing parents
• Hybrid Work Schedule
• Paid Time Off
• Flex Time Off
• 5 Yasumi Days
• Half-Day Fridays during the summer
• Winter Break

#LifeAtCrunchyroll ((select from the following job modalities for this role: #LI-Hybrid #LI-remote #LI-onsite))

About the role

We are seeking a Senior Machine Learning Engineer in the Hyderabad area to design, build, and scale machine learning systems that power personalized and data-driven experiences across our digital entertainment ecosystem — including paid VOD streaming, Manga reading, Merchandising, Mobile Gaming, and Music Video platforms. The role will be reporting to the Manager of Machine Learning.

You will work at the intersection of user behavior, content intelligence, and product engagement, building models and systems that both enhance user experience (e.g., personalization, discovery, lifecycle optimization) and generate actionable business insights and services for internal stakeholders. As a senior individual contributor, you will own high-impact initiatives end-to-end and play a key role in shaping the technical direction of ML systems across products.

Core Areas of Responsibility

• Design, develop, and deploy scalable machine learning models that enhance personalization, discovery, engagement, and monetization across multiple product verticals.
• Lead end-to-end ML projects from problem framing and data exploration to production deployment and monitoring.
• Build and optimize robust data pipelines and feature engineering workflows for large-scale behavioral and content data.
• Design and execute rigorous experimentation frameworks (e.g., A/B testing, offline evaluation) to measure model impact.
• Collaborate closely with Product, Engineering, Analytics, and business stakeholders to translate product goals into ML solutions.
• Improve system reliability, scalability, and performance of production ML services.
• Mentor junior engineers and contribute to raising the team’s technical standards and best practices.
• Contribute to the evolution of ML architecture, tooling, and MLOps practices across the organization.

About You

Required Qualifications

• 8+ years of experience building and deploying machine learning systems in production environments
• Strong foundation in machine learning algorithms, statistics, and model evaluation techniques
• Experience working with large-scale user behavior or content datasets
• Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, xgboost)
• Experience with distributed data processing and data pipeline technologies
• Strong understanding of experimentation methodologies and performance measurement
• Ability to operate independently and drive ambiguous problems to impactful solutions

Preferred Qualifications

• Experience with recommendation systems, ranking models, personalization, or user lifecycle modeling
• Experience in subscription-based digital products, streaming media, gaming, or e-commerce platforms
• Familiarity with cloud infrastructure and production ML services
• Experience optimizing models for real-time or near real-time user-facing applications
  
  

What Success Looks Like

• ML systems you build measurably improve user engagement, retention, or monetization
• Models are reliable, scalable, and well-integrated into product workflows
• Stakeholders trust your technical judgment and rely on your work to inform product direction
• You elevate the team’s engineering rigor and contribute meaningfully to long-term ML platform evolution

About the Team

You will join a fast growing team of Data Scientists, Machine Learning Engineers, and AI Engineers, united by a passion for leveraging data and AI to create transformative solutions. Our team delivers both consumer-facing product features that enhance the streaming experience for millions of users and stakeholder-oriented solutions that empower internal teams with actionable insights. From building personalized recommendation systems to developing innovative tools like our stakeholder-facing chatbot, we combine cutting-edge machine learning, robust data pipelines, and advanced AI to drive impact across the organization. Collaboration, creativity, and a commitment to excellence define our team’s culture as we work together to push the boundaries of what’s possible in streaming and data-driven decision-making.

About the role

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

• Lead and mentor a team of data scientists focused on developing and deploying ML solutions including GNNs, LLM-based applications, and fraud detection models.
• Define and drive the roadmap for AI/ML initiatives across Crunchyroll’s product and platform ecosystem.
• Guide the development of robust ML pipelines and infrastructure, working closely with data engineering, software engineering, and DevOps teams.
• Establish best practices for experimentation, model evaluation, A/B testing, and continuous learning in production environments.
• Work with stakeholders across business, marketing, security, and content teams to identify AI opportunities and translate them into actionable projects.
• Ensure responsible AI/ML development by emphasizing model interpretability, performance, and fairness.
• Own operational metrics around model impact, latency, cost, and system scalability.
• Foster a strong team culture centered on innovation, curiosity, collaboration, and continuous learning.

About You

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

• Bachelor's or Master's in Computer Science, Statistics, Data Science, or a related quantitative field.
• 8+ years of industry experience in data science or applied ML, with 4+ years of people leadership experience.
• Proven track record of delivering production ML systems that solve real-world business problems.
• Deep knowledge of ML/AI frameworks (e.g., PyTorch, TensorFlow, HuggingFace) and experience with applied NLP, GNNs, GraphRAG, and embeddings.
• Experience building systems leveraging Graph Databases, Vector Stores (e.g., FAISS, Pinecone), and cloud-native ML stacks (SageMaker, Databricks, etc.).
• Strong technical leadership, with the ability to direct teams to develop optimal ML solutions and guide research-to-production lifecycle.
• Excellent communication and stakeholder management skills; able to translate between business and technical worlds.
• A passion for building high-performing teams, mentoring others, and fostering a learning-first environment.

About the Team

The R&D team is dedicated to developing, testing, and validating robust and scalable machine learning models that drive business objectives. Our focus includes enhancing operational processes through AI/ML solutions, such as trend analysis, anomaly detection, and the deployment of large language models (LLMs) for tasks like querying system health. Another major focus area is preserving, and improving customer experience and retention. We closely work with our stakeholders to ensure AI/ML objectives are clearly defined.

Job Title: Test Manager - QA (BFSI)

 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

Experience: 8+ yr

Berkadia Services India Pvt Ltd

Job Description

Reports To                    Manager

The Opportunity 

The Credit Analyst will be responsible for assisting Credit Operations teams (across various offices in US) at all stages of Commercial Real Estate deal underwriting. The Credit Analyst will be responsible for generating reports on property financials, evaluating risks associated with the transactions and preparing presentations for loan committee and management. The Analyst will be responsible for timely reporting and quality of work product being submitted.

Global Production Operations (GPO) – Teams in GPO conduct research and analysis of properties financial statements, social and economic drivers, and ownership structure to determine the value of the asset and potential loan value for various lending options.  

In this role, individual will be required to work on one or multiple aspects of Credit Operations with the following key responsibilities –   

• Assist in all aspects of deal processing from screening and application through underwriting, closing and delivery of the loan to servicing. Generate proforma cash flows, identify and evaluate risks associated with a proposed transaction, and prepare formal presentations for management and/or loan committee.
• Act as liaison between underwriters, GPO analysts, mortgage banking staff, closers, in the collection, review, analysis, and dissemination of due diligence materials necessary for the underwriting, approval, and closing of GSE loans.
• Maintain Berkadia systems (e.g. OmniView) with current, applicable deal level data to facilitate production accurate of metrics and reports.
• Coordinate the ordering, and receipt of all third-party reports for GSE loans. Ensure timely receipt of reports from third party vendors.
• Create, organize and maintain underwriting file, create deal checklist with critical dates and deadlines identified, file and maintain deal checklist as due diligence items are received, reviewed, and accepted, and distributes updated checklist weekly.
• Perform various tasks as assigned by Underwriter which may include ordering market reports and credit reports; conducting real estate tax searches; running crime searches; and searching internet sources (e.g. Google) for sponsor, property, and market news.
• Support the UW in organizing the delivery of necessary materials to corporate funding facility partners.
• Assist the Underwriter in preparing GPO feedback material. Arrange and distribute materials for GPO debrief meeting.
• To be able to match the requirements of the process in terms of being available and be flexible to work in multiple shifts.
• Draft / provide input to ensure that departmental policies & procedures are documented and maintained considering revised / new policies / procedures / systems on a continuous basis and present to management for approval. In addition, constantly review processes in operation and provide suggestions for improvement.
• Provide relevant management information at agreed intervals to the Manager/AVP/VP/ Site Director - India
• Work with the Asst. Manager to ensure a high level of motivation, positive communication and a professional work environment throughout the department.
• Determine and organize appropriate employee trainings/one on one meetings/team meetings, when there is a need.
• Perform other duties and special projects as assigned by Management.

Your Qualification

Education:  

• Minimum of B.Com is a must, banking industry is an added advantage.
• Prior experience within Financial Analysis is an added advantage.
• Knowledge of commercial real estate operations including cash flows is a must.
• Must be PC literate in MS windows environment with strong Microsoft Excel and Word skills.
• Excellent organizational and analytical skills.
• A willingness to learn and a positive attitude are essential.
• Ability to work independently and in a team environment through.
• Openness to take on additional responsibilities (work the unconventional way) - create job aids, work on projects to build the templates, enhance tools & technology.
• Collaborate with people across office locations.
• Must be proficient in English, excellent written and oral communication skills.
• Ability to read and interpret documentation.
• Must be able to think outside the box, research problems and provide workable solutions as needed.
• Understands the importance of training and support opportunities for further functional and interpersonal skill development.

Conditions Of Work  

• This position is in Split Shift, however, working additional hours/days is required, as necessary, to meet internal and external deadlines and fulfill the job responsibilities
• To be able to match the requirements of the process in terms of being available and be flexible to work in multiple shifts.
• Though limited, ability and willingness to travel in India and internationally when necessary is required
• While this job description is intended to be an accurate reflection of the job requirements, management reserves the right to modify, add, or remove duties from particular jobs and to assign other duties as necessary.

Functional Skills  

• Exhibit a sense of urgency in managing responsibilities.
• Exhibit solid time management skills and works to exceed all deadlines.
• Demonstrate willingness to take on additional responsibilities and work in unconventional ways.
• Exhibit proficiency and pro-activeness in interaction with various individuals and groups.
• Display ownership and work with minimum supervision.
• Display ability to follow up on all outstanding issues.
• Demonstrate an ability to manage multiple tasks under pressure and prioritize.
• Excel in managing customer expectations with consistent results.

Perks & Benefits          

Berkadia offers the best-in-class benefits to enable an enjoyable work environment for the employees. Key benefits include – 

• Leaves: Berkadia offers a comprehensive leave policy that not only helps you to plan holidays and personal milestones, but also covers exigencies such as sickness and bereavement. 

• Transportation: Berkadia offers free transportation to every employee, irrespective of their shift timings. 

• Medical Insurance: Berkadia has an inclusive medical insurance policy that covers the family members of the employees, including parents. 

• Learn while you Earn: Berkadia encourages employees to learn new skills by sponsoring degrees, certifications, training, and workshops. 

• Wellness: Berkadia has an extensive wellness program that includes annual health check, eye checkup, dental screening, OPD reimbursement, and Employee Assistance Program. 

About us 

Berkadia, a joint venture of Berkshire Hathaway and Jefferies Financial Group, is a leader in the commercial real estate industry, offering a robust suite of services to our multifamily and commercial property clients. Powered by deep relationships and industry-changing technology, our people sell, finance, and service commercial real estate, providing support for the entire life cycle of our clients’ assets.                                                            

Berkadia is an equal opportunity employer and affords equal opportunity to all applicants and employees for all positions without regard to race, color, religion, gender, national origin, age, disability, or any other status protected under the law. To learn more about Berkadia, please visit https://berkadia.com/ 

For details about India operations, please visit https://berkadia.com/india/ 

Why us? 

Here At Berkadia, We Believe People Matter. 

In fact, our people are the heart and soul of everything we do. That’s why we employ the top CRE professionals in our industry, and make sure we invest in their personal development and training. With a focus on innovation and insights, we set the bar high – and keep it there – so that we provide best-in-class service for our clients. 

Our culture, or Berkadia Way as we know it, encourages us to truly see people as people, with unique needs, challenges, and objectives. We take this into consideration when working with each other, engaging our clients, and supporting our communities. Thus, instilling a mindset that fosters our shared commitment to self-accountability helps us see our impact on each other and adjust our efforts accordingly. 

While this job description is intended to be an accurate reflection of the job requirements, management reserves the right to modify, add, or remove duties and to assign other duties, as necessary.

Berkadia Services India Pvt Ltd

Job Description

Reports To                    Manager

The Opportunity 

The Credit Analyst will be responsible for assisting Credit Operations teams (across various offices in US) at all stages of Commercial Real Estate deal underwriting. The Credit Analyst will be responsible for generating reports on property financials, evaluating risks associated with the transactions and preparing presentations for loan committee and management. The Analyst will be responsible for timely reporting and quality of work product being submitted.

In this role, individual will be required to work on one or multiple aspects of Credit Operations with the following key responsibilities –   

• Assist in all aspects of deal processing from screening and application through underwriting, closing and delivery of the loan to servicing. Generate proforma cash flows, identify and evaluate risks associated with a proposed transaction, and prepare formal presentations for management and/or loan committee.
• Act as liaison between underwriters, GPO analysts, mortgage banking staff, closers, in the collection, review, analysis, and dissemination of due diligence materials necessary for the underwriting, approval, and closing of GSE loans.
• Maintain Berkadia systems (e.g. OmniView) with current, applicable deal level data to facilitate production accurate of metrics and reports.
• Coordinate the ordering, and receipt of all third-party reports for GSE loans. Ensure timely receipt of reports from third party vendors.
• Create, organize and maintain underwriting file, create deal checklist with critical dates and deadlines identified, file and maintain deal checklist as due diligence items are received, reviewed, and accepted, and distributes updated checklist weekly.
• Perform various tasks as assigned by Underwriter which may include ordering market reports and credit reports; conducting real estate tax searches; running crime searches; and searching internet sources (e.g. Google) for sponsor, property, and market news.
• Support the UW in organizing the delivery of necessary materials to corporate funding facility partners.
• Assist the Underwriter in preparing GPO feedback material. Arrange and distribute materials for GPO debrief meeting.
• To be able to match the requirements of the process in terms of being available and be flexible to work in multiple shifts.
• Draft / provide input to ensure that departmental policies & procedures are documented and maintained considering revised / new policies / procedures / systems on a continuous basis and present to management for approval. In addition, constantly review processes in operation and provide suggestions for improvement.
• Provide relevant management information at agreed intervals to the Manager/AVP/VP/ Site Director - India
• Work with the Asst. Manager to ensure a high level of motivation, positive communication and a professional work environment throughout the department.
• Determine and organize appropriate employee trainings/one on one meetings/team meetings, when there is a need.
• Perform other duties and special projects as assigned by Management.

Your Qualification

Education:  

• Minimum of B.Com is a must, banking industry is an added advantage.
• Prior experience within Financial Analysis is an added advantage.
• Knowledge of commercial real estate operations including cash flows is a must.
• Must be PC literate in MS windows environment with strong Microsoft Excel and Word skills.
• Excellent organizational and analytical skills.
• A willingness to learn and a positive attitude are essential.
• Ability to work independently and in a team environment through.
• Openness to take on additional responsibilities (work the unconventional way) - create job aids, work on projects to build the templates, enhance tools & technology.
• Collaborate with people across office locations.
• Must be proficient in English, excellent written and oral communication skills.
• Ability to read and interpret documentation.
• Must be able to think outside the box, research problems and provide workable solutions as needed.
• Understands the importance of training and support opportunities for further functional and interpersonal skill development.

Conditions Of Work  

• This position is in Split Shift, however, working additional hours/days is required, as necessary, to meet internal and external deadlines and fulfill the job responsibilities
• To be able to match the requirements of the process in terms of being available and be flexible to work in multiple shifts.
• Though limited, ability and willingness to travel in India and internationally when necessary is required
• While this job description is intended to be an accurate reflection of the job requirements, management reserves the right to modify, add, or remove duties from particular jobs and to assign other duties as necessary.

Functional Skills  

• Exhibit a sense of urgency in managing responsibilities.
• Exhibit solid time management skills and works to exceed all deadlines.
• Demonstrate willingness to take on additional responsibilities and work in unconventional ways.
• Exhibit proficiency and pro-activeness in interaction with various individuals and groups.
• Display ownership and work with minimum supervision.
• Display ability to follow up on all outstanding issues.
• Demonstrate an ability to manage multiple tasks under pressure and prioritize.
• Excel in managing customer expectations with consistent results.

Perks & Benefits          

Berkadia offers the best-in-class benefits to enable an enjoyable work environment for the employees. Key benefits include – 

• Leaves: Berkadia offers a comprehensive leave policy that not only helps you to plan holidays and personal milestones, but also covers exigencies such as sickness and bereavement. 

• Transportation: Berkadia offers free transportation to every employee, irrespective of their shift timings. 

• Medical Insurance: Berkadia has an inclusive medical insurance policy that covers the family members of the employees, including parents. 

• Learn while you Earn: Berkadia encourages employees to learn new skills by sponsoring degrees, certifications, training, and workshops. 

• Wellness: Berkadia has an extensive wellness program that includes annual health check, eye checkup, dental screening, OPD reimbursement, and Employee Assistance Program. 

About us 

Berkadia, a joint venture of Berkshire Hathaway and Jefferies Financial Group, is a leader in the commercial real estate industry, offering a robust suite of services to our multifamily and commercial property clients. Powered by deep relationships and industry-changing technology, our people sell, finance, and service commercial real estate, providing support for the entire life cycle of our clients’ assets.                                                            

Berkadia is an equal opportunity employer and affords equal opportunity to all applicants and employees for all positions without regard to race, color, religion, gender, national origin, age, disability, or any other status protected under the law. To learn more about Berkadia, please visit https://berkadia.com/ 

For details about India operations, please visit https://berkadia.com/india/ 

Why us? 

Here At Berkadia, We Believe People Matter. 

In fact, our people are the heart and soul of everything we do. That’s why we employ the top CRE professionals in our industry, and make sure we invest in their personal development and training. With a focus on innovation and insights, we set the bar high – and keep it there – so that we provide best-in-class service for our clients. 

Our culture, or Berkadia Way as we know it, encourages us to truly see people as people, with unique needs, challenges, and objectives. We take this into consideration when working with each other, engaging our clients, and supporting our communities. Thus, instilling a mindset that fosters our shared commitment to self-accountability helps us see our impact on each other and adjust our efforts accordingly. 

While this job description is intended to be an accurate reflection of the job requirements, management reserves the right to modify, add, or remove duties and to assign other duties, as necessary.

About Us (Ensono)

Ensono is an expert technology adviser and managed service provider. As a relentless ally, we accelerate clients’ digital transformation to achieve business outcomes that stand to last. Our dedicated team helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of the Year, Ensono has over 3500+ associates globally and is headquartered in greater Chicago.

We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications – whether it’s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don’t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts have become an extension of your team so you’re continuously innovating – doing more with less while remaining secure. And that’s just the beginning.

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things!  We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose.

Role Summary

The Application Management Support (AMS) Manager is responsible for ensuring the reliability, stability, and performance of enterprise applications through effective ITIL‑based service management and modern SRE (Site Reliability Engineering) practices. This role leads the application support function by managing incidents, problems, changes, and service requests while also driving automation, observability, and continuous improvement. The AMS Manager collaborates closely with cross‑functional teams, including Development, Infrastructure, and SRE, to enhance application performance, reduce operational toil, and improve service availability. By leveraging ITIL frameworks for governance and SRE principles for engineering excellence, the AMS Manager ensures predictable service delivery, proactive issue resolution, and high levels of user satisfaction.

Key Responsibilities 

Team Management:

• Lead, mentor, and develop a team of application support specialists.
• Assign tasks and responsibilities, ensuring efficient workload distribution.
• Conduct regular performance evaluations and provide feedback to team members.
• Encourage adoption of modern operational practices, including  SRE-aligned approaches such as automation, proactive monitoring, and continuous improvement.

Support Operations:

• Oversee the day-to-day operations of the application support team.
• Ensure timely and effective resolution of incidents and service requests.
• Develop and implement support processes and best practices to improve service delivery.
• Apply foundational SRE concepts such as reducing manual effort (toil) and improving service reliability through better monitoring and operational discipline.
• Ensure adherence to ITIL practices to maintain consistent and structured service operations.

Incident and Problem Management:

• Monitor and manage the incident lifecycle, ensuring adherence to SLAs.
• Analyze incident trends and identify root causes of recurring issues.
• Collaborate with development and infrastructure teams to implement permanent solutions.
• Conduct structured Root Cause Analysis and ensure follow‑through on preventive and corrective actions.
• Utilize basic SRE metrics (like error patterns or service health indicators) where relevant to improve reliability.

Stakeholder Collaboration:

• Work closely with business units to understand their application needs and priorities.
• Liaise with vendors and third‑party service providers to ensure optimal application performance.
• Communicate effectively with stakeholders regarding application issues and updates.
• Collaborate with engineering, DevOps, or SRE teams during releases, upgrades, and planned enhancements to ensure smooth and reliable deployments.

Continuous Improvement:

• Identify opportunities for process improvements and automation within the support function.
• Lead initiatives to enhance application performance, reliability, and user experience.
• Stay updated on industry trends and emerging technologies to drive innovation.
• Apply relevant SRE concepts — such as proactive monitoring, stability improvements, and automation — to strengthen overall service quality.

Reporting and Documentation:

• Generate and present regular reports on support activities, performance metrics, and improvement initiatives.
• Ensure the maintenance of comprehensive support documentation and knowledge base articles.
• Track operational performance, including SLAs and relevant reliability indicators, to support continuous service improvements.

Education:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• A Master’s degree or relevant certifications (ITIL, Cloud, SRE Foundation) is a plus.

Experience:

• 10+ years of overall experience in IT, with strong exposure to application support, IT operations, or production systems.
• Proven experience in an Application Support, Application Management, or IT service management role.
• Minimum 3–4 years of experience leading and managing a technical/application support team, including performance management and team development.
• 5+ years of hands-on experience in application support or a related domain, with strong troubleshooting and analytical skills.
• Experience working with ITIL processes such as Incident, Problem, Change, and Service Request Management.
• Understanding or practical exposure to SRE concepts like proactive monitoring, automation, reducing operational toil, and improving reliability.
• Experience collaborating with cross-functional teams (Development, Infrastructure, DevOps/SRE, vendors) to ensure application stability and performance.
• Exposure to environments require high availability, performance tuning, and continuous operational improvement.

Skills:

• Strong leadership and team management skills, with the ability to guide and develop high-performing support teams.
• Excellent problem‑solving, analytical, and decision-making abilities.
• Effective communication and interpersonal skills for managing stakeholders, users, and cross‑functional teams.
• Ability to manage multiple priorities, handle pressure, and operate effectively in business‑critical situations.
• Strong customer‑centric mindset and commitment to service excellence.
• Understanding of modern operational practices, including basic SRE concepts such as proactive monitoring and automation (advantageous).

Technical Skills:

• In-depth knowledge of enterprise software applications, application architectures, and IT infrastructure components.
• Strong understanding of ITIL processes and best practices across Incident, Problem, Change, and Service Request Management.
• Experience with application monitoring tools, log analysis, and performance management platforms.
• Proficiency in using support tools and ticketing systems (e.g., ServiceNow, Jira, Remedy).
• Ability to collaborate with development, infrastructure, and DevOps/SRE teams to improve application reliability and stability.
• Prior experience as an Application Support Manager or in a similar leadership role.
• Familiarity with automation opportunities within support operations is a plus.

Working Conditions:

• May require on-call support or work outside regular business hours for high‑priority incidents, releases, or maintenance activities.
• Ability to work in a dynamic, fast‑paced, and high‑availability environment.
• Hybrid working model, depending on organizational requirements.

"We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request."

About Company: 

Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management. 

Our mission is to Empower and Enhance the lives of our customers through simple solutions for their complex business problems. 

At NomiSo, we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace thrives on ideas and opportunities. That is a part of our DNA. We’re in pursuit of colleagues who share similar passions, are nimble, and thrive when challenged. We offer a positive, stimulating, and fun environment – with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged.

We invite you to push your boundaries and join us in fulfilling your career aspirations!

Position Overview: 

We are looking for a SRE Architect who will work with technology experts to design optimal solutions to requirements for our customers. This is achieved through interactive requirements gathering, determination of best fit solutions based on problem solving approaches, integrated solution design based on multiple technology types, and a strong ability to present and articulate solutions to senior members of the customer teams.

Roles and Responsibilities:

• Own the Infrastructure, APM and work with Developers and Systems engineers to Build, Release, Monitor and run the services reliability exceeding the agreed SLAs..
• Write software to automate API-driven tasks at scale and contribute to the product codebase in Java, JS, React, Node, Go and Python
• Write automation to reduce toil and eliminate manual tasks that are repeatable.
• Work with Ansible, Puppet, Chef, Terraform or another config management / orchestration suite, know where it's broken, work towards fixing them and explore new alternatives
• Define and accelerate implementation of support processes, tools and best practices
• Maintain services once they are live by measuring and monitoring availability, latency and overall system reliability
• Handle cross team performance issues from identification of the cause, determining the areas of improvement and driving those actions to closure
• Performance and maturity baselining of Systems, tools maturity & coverage, metrics, technology and engineering practices
• Define, Measure and improve Reliability Metrics (SLO/SLI), Observability (Monitoring, Logging-Tracing solutions), Ops process (Incident, Problem Mgmt) and streamline – automate release management. Build dashboards to provide visibility into performance of the applications. 
• Create chaos in the production environment purposefully in a controlled manager to validate reliability of systems.
• Mentor and coach other SREs in the organization
• Provide written and verbal updates to executives and the stakeholders of the application in the organization.
• Understand the current process, system setup and propose the improvements needed in the processes, and  technology so that the application exceeds the desired Service Level Objective.
• Strong believer of automation to bring in sustained continuous improvement by automating Toil, Runbooks, improving ability of the applications to auto heal leading to improved reliability 

Must Have Skills:

The successful candidate will have the following attributes/qualifications:

• 15+ years of experience in Development and Operations of applications/services in production that has uptime over 99.9%.  
• 8+ years of experience as a SRE in handling applications that are web scale
• Strong hands-on coding experience in one or more programming languages such as Python, Golang, Java, Bash, etc.
• Good understanding of Observability (monitoring, logging, tracing, metrics), Chaos engineering concepts.
• Proficiency in using Observability tools (example: New Relic, Datadog, etc) for monitoring, logging, tracing.
• Expert level hands on knowledge in public cloud platform AWS and/or Google Cloud Platform. Professional level certificate on one of the public clouds is highly desirable.
• Must have hands-on experience in using configuration management systems such as Ansible or SaltStack and infrastructure automation tools like Terraform or CloudFormation.
• Should have used altering systems such as Pager Duty.
• Should have implemented solutions around Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for services. Measurement should have been within a system and across systems in distributed systems 
• Should have supported Production Incidents (PIs) on critical applications of a company. Troubleshoot, debug, and diagnose operational issues and drive them to closure. 
• Understanding of software delivery life cycles, particularly Agile/Lean & DevOps
• Proven experience in handling large scale and growing infrastructure across Data Centers and heterogeneous Cloud platforms
• Experience as a service owner in managing large – geographically diverse stakeholders 
• Ability to work with creative – fast growing engineering team and motivate them to deliver their best work
• History of driving innovation.

Good to Have Skills:

• Familiarity with handling:

• Containerization – Kubernetes, Docker, Rancher, etc
• Kafka, Yarn, ElasticSearch etc.
• Source code management and Implementation of Security best practices. 
• Tech Stack - Python, Falcon, Elastic Search, MongoDB, AWS (SQS S3), Map Reduce.

• Networking knowledge
• Understanding of software delivery life cycles, particularly Agile/Lean & DevOps
• Contribution to open source community

Qualification: 

Master’s or Bachelor’s degree in Computer Science Engineering, or a related technical degree.

Website: https://www.nomiso.io/

Location:

Bangalore/Hyderabad

StarRez operates globally across the USA, UK, Canada, and Australia. The India Center is a pivotal extension of our growth strategy, focusing on building world-class centers of excellence teams while fostering a seamless blend of StarRez’s core values with India’s dynamic talent ecosystem.   

The Role 

We are looking for a  Platform Engineering Manager, with extensive Software Engineering background and strong business acumen to join and help lead our rapidly growing global team supporting SaaS products.  

 You are an experienced .NET Software Engineer with extensive demonstrable experience of leading teams that design, build and operate cloud-based SaaS products and platforms. You are passionate about cultivating an environment that provides growth and opportunity for all team members and energizes them to do their best work. 

 In this role, you will lead from the front by applying and sharing your Software Engineering experience in a team responsible for the performance and reliability of our SaaS products and the development and enablement of internal systems and capabilities that eliminate manual work through automation.  

You'll be joining our Platforms teams with globally dispersed Site Reliability and Platform Engineers in a "follow the sun" model to operate our products on a multi-region cloud platform. 

What You Will Own 

• Build, manage, and mentor a high-performing Platform Engineering team, fostering a culture of collaboration, accountability, and continuous development. 

• Ensure timely and efficient delivery of the team’s project and reactive work to support the needs of the business in alignment with Product and Technology Roadmaps 

• Provide coaching, training, and career development opportunities to strengthen the team's skills and performance 

• Ensure effective planning and allocation of team capacity through project management, planning/estimation, risk management and predictable delivery while creating visibility of all work 

• Provide technical leadership and mentoring across teams through knowledge sharing sessions, pair programming, code reviews and solution design 

• Translate business problems and complex requirements into simple, tractable technical solutions 

• Contribute to the preparation and execution of Product & Technology roadmaps 

• Implement and maintain monitoring/alerting/logging systems to identify and respond to incidents 

• Conduct/participate in Root Cause Analyses (RCAs) and blameless post-mortems 

• Participate in on-call rotations to ensure system reliability and rapid incident response. 

• Ensure scalability and efficiency of cloud infrastructure and systems to handle traffic and data growth 

• Collaborate with product engineering teams to design/build fit-for-purpose and observable software 

• Lead innovation within the platform team, and ensure that successful ideas are evangelized and propagated across the company 

Required Qualifications: 

• Bachelor's degree in Computer Science, Information Technology, or similar  

• Recent and proficient experience development in C#/.NET 

• Proven experience (3+ years) Leading Platform Engineering or Site Reliability Engineering teams 

• Recent and proficient experience (8+ years) in C#/.NET development 

• Experience (2+ years) working on a SaaS platform, preferably in a leadership capacity 

• Proven track record of designing, building and operating highly-available and performant production environments, preferably using Kubernetes 

• Proficiency with one or more public cloud providers such as Azure, AWS or GCP 

• Proficiency using Infrastructure as Code (IaC) tools such as Terraform 

• Experience with monitoring, observability and logging tools such as DataDog, Prometheus, Grafana, or similar. 

• Strong business acumen and strategic thinking capabilities 

• Exceptional leadership, communication, and interpersonal skills, with the ability to engage at all levels with non-technical as well as technical audiences 

• Ability to work in a fast-paced, dynamic environment and manage multiple priorities with a positive attitude 
   

Preferred Qualifications: 

• Relevant certifications in cloud platforms (e.g., Microsoft Certified: Azure Solutions Architect) and DevOps practices (e.g., Certified Kubernetes Administrator) are a plus 

• Experience in database management/performance tuning, particularly MSSQL. 

• Experience working with frontend technologies (React) 

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

Reasons to join our Team:  

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

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

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

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

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

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

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

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

Notice to external Recruiters and Recruitment Agencies:  

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