Responsibilities

We are looking for an exceptional Senior GRC Analyst to join our growing team. In this role, you will lead compliance assessments for frameworks such as NIST 800-171, ISO 27001, NIST 800-53 (FedRAMP), PCI, MLPS and IRAP, while also driving broader security compliance efforts. The ideal candidate will use strong analytical, communication, and problem-solving skills to evaluate controls, identify gaps, and recommend improvements across security domains. You will also be responsible for:

• Lead and participate in both internal and external audits for frameworks including ISO 27001/27701, PCI-DSS, NIST 800-171, NIST 800-53 (FedRamp), and IRAP

• Experience using or exploring AI/automation tools to enhance, streamline, or scale Governance, Risk, and Compliance (GRC) processes and workflows

• Manage and oversee risk, compliance, and governance initiatives across teams

• Coordinate with process owners, control owners, auditors, and consultants to ensure findings are tracked and addressed

• Conduct risk assessments, security audits, and third-party/vendor risk reviews

• Review contracts to ensure security and compliance requirements are met

• Identify process gaps and recommend improvements to enhance the organization’s security posture

• Communicate risks and compliance requirements clearly to both technical and non-technical stakeholders

• Perform regular user access reviews

• Develop and track remediation plans for identified risks and issues

• Maintain and update the risk register

• Oversee vendor security assurance processes

• Collaborate with stakeholders to design and implement effective internal controls aligned with regulatory standards

• Support risk and security discussions across cross-functional teams

• Build strong working relationships across departments

• Take on additional responsibilities as needed

Requirements

Qualifications / Experience / Technical Skills

Please note that the working hours for this position are from 2:00 PM to 11:00 PM IST (overlap with U.S. Pacific Time required)

• 8+ years of experience in cybersecurity programs, audits, risk management, compliance, or remediation

• Experience working with cloud platforms such as AWS, Azure, or Google Cloud

• Proven ability to negotiate and prioritize risk remediation with internal stakeholders

• Bachelor’s degree in Information Systems, Computer Science, Information Security, or a related field

• Strong understanding of security controls, including cloud environments, firewalls, IDS/IPS, and vulnerability management

• Familiarity with NIST 800-171 and NIST Risk Management Framework (NIST 800-53)

• Experience auditing frameworks such as PCI-DSS, SOC 2, and ISO 27001/27701

• Relevant certifications (CISSP, CISA, PCI ISA, ISO, or similar) are preferred

• Ability to manage multiple priorities independently with minimal supervision

Soft Skills / Personal Characteristics

• Strong communication skills with the ability to translate compliance requirements into technical actions

• High energy and adaptability in a fast-paced environment

• Strong collaboration and a knowledge-sharing mindset

• Excellent time management and organizational skills

• High attention to detail, integrity, and ethical standards

• Willingness to learn and take on new challenges

Additional requirements

• May involve some international travel

• This position requires overlap with U.S. Pacific Time (PST) working hours. Candidates should be available and flexible to work from 2:00 PM to 11:00 PM IST.

• Strong hands-on experience with PCI audits, ISO 27001, NIST 800-171, FedRamp, SOC 2, and potentially IRAP is required.

To help your application stand out, please take time to answer the Job Application Questions below clearly and concisely. All submissions are reviewed by our Hiring Team, not evaluated by AI.

(REQ ID: 2760)

Role

We are looking for a Staff Software Development Engineer in Test to join our Engineering team. This is a hybrid role based in Bangalore or Mohali, reporting to the Director, Software Engineering. You will lead quality strategy and execution for a large-scale, cloud-native, multi-tenant platform. You will bring your vision and passion to a team of experts enabling organizations worldwide to harness speed and agility with a cloud-first strategy through our multitenant architecture.

What you’ll do (Role Expectations)

• Own end-to-end System Integration Testing (SIT) and quality outcomes for key platform areas including UI, APIs, services, and data workflows

• Design and deliver effective, automatable test plans with strong coverage for functional, regression, and system integration scenarios

• Build and maintain UI and API automation using modern frameworks to ensure stability, maintainability, and fast feedback

• Validate large-scale systems including REST APIs, backend services, distributed workflows, and microservices

• Integrate automation into CI/CD pipelines, enabling release gating, quality metrics, and faster deployments

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Advanced proficiency in automation testing using Python (pytest/unittest), JavaScript, or TypeScript

• Hands-on experience with UI automation tools such as Selenium, Cypress, or Playwright for end-to-end validation

• Deep experience testing distributed systems, microservices, and scalable cloud-native multi-tenant architectures in AWS, GCP, or Azure environments

• Solid understanding of CI/CD integration, Linux troubleshooting, and containerized environments including Docker and Kubernetes

• Technical knowledge of L2/L3 networking concepts, including routing protocols, VPN, IPSec, and WAN architecture

What Will Make You Stand Out (Preferred Qualifications)

• Proven experience designing scalable test frameworks covering architecture, patterns, reporting, stability, and parallelization

• Proficiency with Git, test management tools like TestRail, and issue tracking systems such as Jira

• Hands-on experience with AI agent prompting and usage for productivity, test design, and automation support

#LI-GL2

#LI-Hybrid

Role - Quality Assurance Engineer I

Overview:

We are seeking a skilled JavaScript Automation Tester to join our dynamic team. As a JavaScript Automation Tester, you will be responsible for designing, developing, and executing automated test scripts to ensure the quality and reliability of our software products. You will work closely with developers, quality assurance engineers, and product managers to identify test requirements and automate test cases using JavaScript-based testing frameworks. This role offers an exciting opportunity to contribute to the development of cutting-edge software solutions while leveraging your expertise in JavaScript and automation testing.

Responsibilities:

• Develop and maintain automated test scripts using JavaScript-based testing frameworks such as Cypress, or Protractor.
• Collaborate with cross-functional teams to analyze software requirements and identify test scenarios.
• Design, implement, and execute automated test suites to validate the functionality, performance, and scalability of web applications.
• Conduct regression testing to ensure the stability of software releases and identify any potential issues or bugs.
• Basic understanding of continuous integration and continuous deployment (CI/CD) pipelines to automate the testing process.
• Identify and report defects using issue tracking systems and work closely with development teams to resolve them.
• Participate in code reviews and provide feedback on testability and maintainability of code.
• Stay updated on industry best practices, emerging technologies, and trends in automation testing.

Requirements:

• Bachelor’s degree in computer science, Engineering, or related field.
• Proven experience 1-2 Years in automated testing using JavaScript and relevant testing frameworks (e.g., Selenium, Cypress, Protractor).
• Proficiency in JavaScript programming and web technologies such as HTML, CSS, and DOM manipulation.
• Strong understanding of software testing principles, methodologies, and techniques.
• Experience with version control systems such as Git.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Ability to work effectively in a fast-paced, collaborative environment and manage multiple priorities.
• Strong communication skills with the ability to clearly articulate technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Experience with Agile/Scrum development methodologies.
• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with performance testing tools and techniques.

The Job in Short

Work with customers and our partners in implementation projects around the globe. How would you guide them to success?

Meet the Job

This is an exciting position where you will be exposed to a variety of environments and technologies within different organizations around the world. As a valued member of the team you will be working closely with all disciplines such as BE Engineers, FE Engineers, QA Engineers, Solution Architects and Business Analysts on the successful delivery of Backbase software to our customers.

Being a consultant at Backbase means taking ownership of your projects and enabling our customers to set up their environments from test to production. You will analyze the particular situation, the needs and existing set up of our customers to provide documented guidelines for the implementation. You give advice on security standards and optimizing performance.

You design, develop and oversee the implementation of solutions that improve the stability, scalability, availability and latency of our product. At Backbase we focus on providing solutions instead of workarounds. You are in close contact with customers and partners which leads to valuable input to improve our product in your collaboration with our R&D teams.

How about You?

You have designed and/or built mission critical services (large scale internet or cloud-based services) and have proven experience with production systems and dealing with production issues:
● You hold a Bachelor’s degree or equivalent;
● You have a working knowledge of Maven, Jenkins, and Shell;
● You have experience deploying Java applications, JVM tuning, Tomcat;
● You have experience with Cloud (AWS or Google cloud), as well as expertise with Linux/Unix systems.
● You have been exposed to DEVOPS tools such as Travis CI, GitLabs, Jenkins, GoCD, Chef, Salt, Puppet, Terraform, Cloud formation.

It would be great if you also have:
● Experience with any of the following configuration tools: Ansible (preferable);
● Experience with Kubernetes (preferable) / Openshift / Pivotal Cloud Foundry;
● Experience deploying Spring Boot applications as a plus;
● Database experience as an administrator;
● Experience with Helm charts.

What You’ll Do: 

• Provide holistic assessments of security layers across infrastructure, application, people, and processes.
• Collaborate with product managers, designers, and engineers to threat model and architect secure and resilient systems.
• Review source code against secure coding best practices and contribute security requirements.
• Drive the software design and implementation of security services, tools, and libraries to provide secure defaults to the rest of the organization.
• Promote security remediations in the CI/CD pipeline by building tools and services for engineers to consume (e.g. custom Semgrep implementation, developer-first secrets management).
• Help build the platform that ensures software development at DigitalOcean is safe, easy, and low-risk.
• Champion an internal security culture (developer training, internal CTFs, etc.).
• Help DigitalOcean engineers understand how security events impact them. Do they need to worry about the next Log4j CVE? How does RetBleed impact DigitalOcean’s fleet?

• Ability to clearly communicate security topics and vulnerability classes (e.g. OWASP Top Ten) and provide actionable direction to product teams.
• A record of partnering with internal engineering teams to tackle security problems across an entire stack with empathy and creativity. Engineering teams are our partners, not our adversaries.
• Hands-on experience in software engineering projects. We primarily develop in Python, JavaScript, and PHP. You are comfortable writing code with good test coverage.
• Working knowledge of modern development concepts (virtualized environments, containerization, continuous integration + delivery, Public Cloud such as AWS/GCP).

• Bachelor's degree in Computer Science or related field.
• 3+ years experience guiding software teams on security architecture design.
• 3+ years of experience in application security or product security roles.
• Do you have 3+ years of software engineering experience, are interested in moving into a dedicated security role, and can share examples of championing security issues in the past? We also want to speak to you!
• Proven professional experience guiding software teams on secure architecture design.
• Working knowledge of system architecture and/or application architecture.
• Experience building or reviewing threat models and ability to craft malicious user, attacker, and abuse/misuse cases.
• Working knowledge of hardware and software supply chain security.

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

#LI-Hybrid 

What You’ll Do: 

• Provide holistic assessments of security layers across infrastructure, application, people, and processes.
• Collaborate with product managers, designers, and engineers to threat model and architect secure and resilient systems.
• Review source code against secure coding best practices and contribute security requirements.
• Drive the software design and implementation of security services, tools, and libraries to provide secure defaults to the rest of the organization.
• Promote security remediations in the CI/CD pipeline by building tools and services for engineers to consume (e.g. custom Semgrep implementation, developer-first secrets management).
• Help build the platform that ensures software development at DigitalOcean is safe, easy, and low-risk.
• Champion an internal security culture (developer training, internal CTFs, etc.).
• Help DigitalOcean engineers understand how security events impact them. Do they need to worry about the next Log4j CVE? How does RetBleed impact DigitalOcean’s fleet?

• Ability to clearly communicate security topics and vulnerability classes (e.g. OWASP Top Ten) and provide actionable direction to product teams.
• A record of partnering with internal engineering teams to tackle security problems across an entire stack with empathy and creativity. Engineering teams are our partners, not our adversaries.
• Hands-on experience in software engineering projects. We primarily develop in Python, JavaScript, and PHP. You are comfortable writing code with good test coverage.
• Working knowledge of modern development concepts (virtualized environments, containerization, continuous integration + delivery, Public Cloud such as AWS/GCP).

• Bachelor's degree in Computer Science or related field.
• 3+ years experience guiding software teams on security architecture design.
• 3+ years of experience in application security or product security roles.
• Do you have 3+ years of software engineering experience, are interested in moving into a dedicated security role, and can share examples of championing security issues in the past? We also want to speak to you!
• Proven professional experience guiding software teams on secure architecture design.
• Working knowledge of system architecture and/or application architecture.
• Experience building or reviewing threat models and ability to craft malicious user, attacker, and abuse/misuse cases.
• Working knowledge of hardware and software supply chain security.

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

#LI-Hybrid 

Job Summary

The Software Engineer is responsible for designing, developing, testing, deploying, and maintaining software components that support Cision’s global SaaS platform. This role contributes to the full software development lifecycle and collaborates cross-functionally with teams across regions. The position requires solid technical knowledge, problem-solving skills, and the ability to deliver in a fast-paced, Agile environment.

Essential Duties and Responsibilities

Build high-quality, scalable, and maintainable software solutions

Participate in Agile ceremonies, sprint planning, and daily stand-ups

Contribute to system and application architecture discussions, ensuring scalable and maintainable design patterns

Collaborate with product managers, designers, and QA to deliver new features

Develop APIs and services with security, performance, and reliability in mind

Conduct peer code reviews and contribute to shared coding standards

Mentor junior engineers through code reviews, technical guidance, and knowledge sharing

Support deployment and operational monitoring of applications

Troubleshoot, debug, and optimize existing systems

Contribute to documentation and knowledge sharing within the team

As other duties are assigned

Minimum Qualifications

Bachelor’s degree in computer science, Engineering, or equivalent practical experience

3+ years of experience as a software developer/engineer in a SaaS or cloud-native environment

Proficiency in at least one modern programming language (e.g., Java, Python, C#, JavaScript)

Familiarity with cloud platforms (AWS, Azure, or GCP)

Experience with Git, CI/CD tools, and Agile software development

Strong verbal and written communication skills

Ability to work effectively in globally distributed teams

Preferred Qualifications

Experience with microservices architecture and API development

Exposure to containerization tools (e.g., Docker, Kubernetes)

Knowledge of secure coding practices and performance optimization

Familiarity with front-end frameworks (React, Angular) is a plus

Experience working in a private equity-backed or fast-growth SaaS company

Working Conditions

Global, distributed team environment with flexibility for remote work

May require occasional off-hours collaboration across time zones

Fast-paced setting with continuous delivery practices

As a Staff Data Scientist, you will act as a senior technical leader and trusted advisor across multiple teams. You’ll guide stakeholders through the complexity of modern AI systems, with a particular focus on agentic AI architectures (including LangGraph, LangFuse, and related tooling), as well as broader machine‑learning strategy. This role blends deep technical expertise, consultative problem‑solving, and cross‑functional leadership. 

You will often support several initiatives simultaneously, helping teams understand feasibility, scope, and risk while shaping high‑impact AI solutions that align with business needs. You’ll also mentor junior colleagues, elevate data‑science practices, and contribute hands‑on to the development of production‑grade AI systems. 

What you'll do:

AI Consulting & Advisory 

• Partner with product, engineering, and business teams to translate ambiguous problems into clear AI opportunities. 

• Provide expert guidance on agentic AI, including workflow orchestration, evaluation, observability, and safety. 

• Assess the complexity, feasibility, and expected value of proposed AI initiatives, helping teams prioritise effectively. 

• Communicate trade‑offs, risks, and solution paths to both technical and non‑technical audiences. 

AI & ML Solution Design 

• Architect end‑to‑end AI systems that solve real business problems, from early discovery through deployment. 

• Design agent‑based workflows, retrieval‑augmented pipelines, and ML‑powered automation. 

• Define evaluation strategies, data requirements, and success metrics for AI features and products. 

• Collaborate with engineering teams to ensure solutions are scalable, maintainable, and aligned with platform strategy. 

Hands‑On Technical Work 

• Build prototypes, proof‑of‑concepts, and production‑ready components using Python, modern AI frameworks, and cloud tooling. 

• Develop and refine agentic AI workflows using LangGraph, LangChain, LangFuse, or similar frameworks. 

• Implement machine‑learning models, retrieval systems, and data pipelines where needed. 

• Contribute to internal libraries, tooling, and best practices for AI development. 

Leadership & Mentorship 

• Mentor junior and mid‑level data scientists, providing guidance on modelling, experimentation, and system design. 

• Lead technical discussions, design reviews, and cross‑team collaboration sessions. 

• Champion high standards for code quality, documentation, and reproducibility. 

• Help shape the long‑term AI strategy and technical roadmap, through your technical knowledge on the art of the possible, and the business problems our clients face. 

What you'll bring:

• Extensive experience in data science, machine learning, or applied AI, including hands‑on coding in Python and common data science libraries, such as Numpy, Scipy, Pandas, SKlearn, Spacy. 

• Ability with prototyping frameworks such as Dash. 

• Good working understanding of code version control with Git. 

• Experience with big data tools, such as: Spark, Dask, or alternatives. 

• Strong understanding of agentic AI, orchestration frameworks, and LLM‑based system design. 

• Ability to evaluate project complexity, identify risks, and guide teams toward pragmatic solutions. 

• Experience designing and delivering AI systems in production environments. 

• Excellent communication skills and the ability to influence beyond your immediate team. 

• Great mentoring skills. 
• Comfort working across multiple projects and shifting priorities. 

Nice to Have 

• Experience with observability and evaluation tools such as LangFuse, Weights & Biases, or similar. 

• Familiarity with agentic evals and prompt‑engineering patterns. 

• Background in consulting, technical advisory, or cross‑functional leadership roles. 

• Experience with cloud platforms (AWS, GCP, Azure) and modern MLOps practices. 

About the Team

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

About the Role

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

You're excited about this opportunity because you will…

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

We're excited about you because…

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

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

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

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

This is a work-from-office / In-Office role based in our Hyderabad, India location.

We are looking for a Senior Software Engineer to join our team and work on the development of our SaaS product. In this role, you will lead the development of new features, improve system architecture, and ensure the scalability and reliability of our cloud-based software. You will collaborate with cross-functional teams to deliver high-quality software and contribute to the continuous improvement of the product.

Key Responsibilities:

• Architect and Design Software Solutions: Contribute towards design and architecture of new features for our SaaS product. Ensure that solutions are scalable, maintainable, and meet customer needs.
• Develop & Implement Features: Build and maintain robust and high-performing software solutions for our SaaS platform, writing clean, efficient, and testable code.
• Collaborate with Cross-Functional Teams: Work closely with product managers, designers, and other engineers to define and implement product features, ensuring that business requirements and customer needs are met.
• Optimize and Scale: Continuously improve application performance and scalability, focusing on optimizing cloud-based resources and database performance.
• Maintain Code Quality: Write unit and integration tests, conduct code reviews, and ensure adherence to coding standards. Participate in code reviews and provide feedback on engineering best practices.
• Mentorship: Provide technical leadership and mentorship to junior engineers, helping them grow their skills and achieve their career goals.
• Troubleshoot and Debug: Investigate and resolve software issues, working with the support team to fix bugs and improve the overall user experience.
• Security & Compliance: Ensure the SaaS product complies with security best practices and regulatory standards. Implement security features to protect user data and sensitive information.
• Continuous Improvement: Stay up to date with the latest technologies and industry trends, and incorporate modern practices into the development process. Participate in the iterative process of refining and evolving the product.
• Documentation: Produce clear technical documentation to support the development, deployment, and maintenance of software systems.

Required Skills and Qualifications:

• Bachelor's Degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
• Proven Experience: At least 8+ years of professional experience in software development, with significant experience working on SaaS products or cloud-based platforms.
• Programming Languages: Strong proficiency in languages commonly used for SaaS development (e.g., Golang, JavaScript, TypeScript, Python, Scala, Java).
• Cloud Platforms: Experience working with cloud platforms such as AWS, or Google Cloud, and an understanding of cloud architecture, microservices, and containerization..
• Database Management: Strong knowledge of relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB) and experience with database optimization.
• DevOps and CI/CD: Hands-on experience with CI/CD pipelines, containerization (Docker), and orchestration tools (e.g., Kubernetes).
• Agile Methodologies: Familiarity with Agile development processes and tools (e.g., Jira, GitHub).
• Version Control: Proficiency with version control tools like Git.
• Problem Solving: Excellent analytical and problem-solving skills, with a focus on delivering high-quality solutions.
• Communication: Strong written and verbal communication skills. Ability to communicate complex technical concepts to non-technical stakeholders.

Preferred Skills:

• SaaS Experience: Experience building, maintaining, and scaling SaaS applications, particularly in high-availability and high-traffic environments.
• Microservices Architecture: Familiarity with microservices architecture and cloud-native application patterns.
• Test Automation: Experience with test automation frameworks and practices.
• Security: Understanding of web application security, data encryption, and secure coding practices.
• Leadership: Previous experience mentoring or leading engineering teams.

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 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 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Position Overview:

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

What You’ll Do:

1. Technical Consultation & Architecture Design

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

2. Proactive Customer Engagement & Growth

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

3. Advocacy & Cross-Functional Collaboration

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

4. Tooling & Efficiency

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

What You’ll Add to DigitalOcean:

Technical Expertise:

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

Customer-Centric Approach:

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

Communication Skills:

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

Adaptability & Initiative:

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

Extra Credit / Preferred Experience:

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

*This is a hybrid role

#LI-Hybrid

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

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

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

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

What You’ll Do:

Technical Consultation & Architecture Design:

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

Proactive Customer Engagement & Growth:

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

Advocacy & Cross-Functional Collaboration:

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

Tooling & Efficiency:

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

What You’ll Add to DigitalOcean:

Technical Expertise:

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

Customer-Centric Approach:

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

Communication Skills:

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

Adaptability & Initiative:

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

Extra Credit:

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

*This job is located in Hyderabad, India

#LI-Hybrid

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

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

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

This job requires daily onsite work at our headquarters in Hyderabad.   

Who we need  

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. We are seeking candidates inspired by the opportunity to securely apply data in the development of real-world health solutions. Beyond core capabilities, we seek problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference.  

We do things the right way. Our commitment to security, privacy, and compliance is foundational to the trust our members, customers, and partners place in us. This position is critical to protecting the infrastructure behind the most representative, complete, and timely source of linked patient data in the US. 

If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.  

This opportunity  

Success in the healthcare industry is predicated on a foundation of trust. We demonstrate our trustworthiness as stewards of health data through three foundational pillars: security, privacy, and compliance.   

At Truveta, data security is not just an internal requirement; it is essential to enabling trusted research, regulatory-grade evidence, and responsible innovation at scale. Truveta has achieved HITRUST r2 certification, completed a SOC 2 Type 2 examination, and maintains ISO 27001 certification, with ISO 27701 and ISO 27018 extensions. These certifications reflect a rigorous, independently assessed approach to managing risk, protecting sensitive data, and maintaining the controls required for a highly trusted research environment. 

Responsibilities: 

• Design and implement Azure cloud-based infrastructure, including using tools for infrastructure as code(IaC) and automation to meet technical, security and business needs. 

• Design and implement Azure cloud environments (tenant, subscription, VM, storage account, databases, networking, firewalling) optimized for AI/ML workloads. 

• Manage and maintain Azure Networking, Azure firewalls/VPN and associated policies/rules, Web Application Firewall, Application Gateway, Front Door, VNET peering, ensuring security, availability, scalability, and performance. 

• Secure Azure Kubernetes clusters, containers, and images. 

• Establish and enforce Azure security policies, manage access controls, and ensure the infrastructure complies with relevant regulations. 

• Automate tenant and infrastructure provisioning, deployments, and other routine tasks to increase efficiency. 

• Monitor Azure cloud resources, analyze performance, and troubleshoot issues as they arise. 

• Perform incident troubleshoot and problem resolution for office network, cloud infrastructure, and own postmortems. 

• Work with Engineering teams and external teams, gather requirements, develop and integrate cloud solutions and support business needs. 

• Actively participate in architecture, code reviews, presentations, share learns and best practices to enable flawless deployment and quality operations. 

• Evaluate and implement new security features/services/products to secure Truveta Azure infrastructure. 

• Support innovation and cost management by developing new ideas for Azure cloud infrastructure and related tools. 

• Interact with compliance team to deliver compliance certificates and remediate gaps during compliance finding and controls. 

Qualifications  

• A minimum bachelor's in computer science, Software Engineering, Electrical or Electronics Engineering, Information Systems, or equivalent 

• 5+ years’ experience in public cloud networking & security design, implementation & support 

• Experience of TCP/IP IPv4/v6, office network (Routing/Switching/WAN, Wi-Fi & Security) management 

• 3+ years automation experience in Azure Cloud Networking / Azure DevOps or GitHub CI/CD pipelines in any of the following: Python, PowerShell, Terraform, Bicep, YAML template 

• 3+ years network security practices in on-premises and/or cloud environment 

• Experience managing and supporting Windows Desktop OS, MacOS, managed endpoint administration at scale across an enterprise sized environment 

• Understanding the Windows Desktop/Mac OS packaging, scripting, and automated deployment tools, such as Microsoft Intune and Jamf. 

• Ability to participate in on-call rotation 

Preferred qualifications  

• Experience in implementation & securing platforms/services in one or more public clouds (Azure, AWS, GCP)  

• Self-starter with proven ability to develop creative solutions that enable customers and cost efficiency 

• Interest and ability to research new and emerging technologies to better solve cloud infrastructure problems or improve security posture 

• Certifications in Cloud/Network/Security (such as Azure AZ500, AZ700, Cisco CCNA/CCNP, Fortinet NSE 3-6, Palo Alto PCNSE, etc.) 

ABOUT THE ROLE:

The Tide Security Engineering team is made up of three core areas: Product Security, Identity, Threat Detection & Response

Product Security consists of application and cloud security experts. Their mission is to protect the products we build, covering everything from secure design reviews to threat modelling and penetration testing, ensuring security is embedded from the ground up.

Threat Detection & Response (this role!) focuses on protecting the company by building a robust detection and automation platform. We’re proactive in our defence, constantly hacking ourselves to improve our security posture and staying ahead of emerging threats. Our goal is to make Tide resilient against the ever-evolving threat landscape.

Identity is responsible for managing Tide's staff identity platform, ensuring that access to systems and infrastructure is secure, seamless, and aligned with modern security practices. The team uses strategies like zero trust, multi-factor authentication, and granular role-based access controls to safeguard our internal operations.

While each area has its own focus, collaboration is key - it's why we share the same Slack channel and hold our standups together as one cohesive team, ensuring alignment and seamless communication across all security functions.

• Supporting the development and implementation of a strategic vision for threat detection, driving the overall direction and priorities for a team of highly talented engineers.
• Getting hands-on with SIEM systems, including creating custom log-parsers for in-house applications, configuring alert rules, performing log analysis and tuning detections to reduce false positives.
• Creating security automations and services to automate mundane tasks; from data enrichment to automatically removing phishing emails from employee mailboxes. We want you to run with the “anything is possible” mantra.
• Continuously hunting for sophisticated threats across our infrastructure, leveraging threat intelligence and innovative detection techniques to stay ahead of attackers. You'll monitor and respond to threats across AWS, GCP, internal applications, and employee endpoints (Windows, macOS).
• Collaborating with cross-functional teams to develop and implement; business-specific threat detection rules. 
• Responsible for ensuring the quality of detections, and uptime of our detection ecosystem through mature test driven development paired with proactive health monitoring capabilities.
• Identifying opportunities to build or enhance internal tools that streamline threat detection processes, improve data visibility, and increase response efficiency.
• Leading complex incident investigations, coordinating efforts across the security, IT, and engineering teams to ensure rapid and effective containment, remediation, and recovery.
• Support as part of the wider security incident response on-call rota.

WHAT WE ARE LOOKING FOR:

• Strong knowledge with one of the following: Splunk, Scanner, Sentinel, SecOps.
• Strong understanding of modern attack and defence techniques which apply to Cloud (AWS, GCP), SaaS (such as Google Workspace and Okta) and desktop (Windows and macOS) environments.
• Passion for passing on knowledge to fellow colleagues.
• Hands-on attitude and the ability to drive solutions to completion.
• Strong experience in security automation, from writing scripts to creating end-to-end automated workflows. Familiarity with SOAR platforms and automating threat detection and response tasks.
• Excellent spoken and written communication skills.
• Experience with writing automation and scripts; bonus points if you have a repository to show-case your work.

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).

ABOUT THE ROLE:

The Tide Security Engineering team is made up of three core areas: Product Security, Identity, Threat Detection & Response

Product Security consists of application and cloud security experts. Their mission is to protect the products we build, covering everything from secure design reviews to threat modelling and penetration testing, ensuring security is embedded from the ground up.

Threat Detection & Response (this role!) focuses on protecting the company by building a robust detection and automation platform. We’re proactive in our defence, constantly hacking ourselves to improve our security posture and staying ahead of emerging threats. Our goal is to make Tide resilient against the ever-evolving threat landscape.

Identity is responsible for managing Tide's staff identity platform, ensuring that access to systems and infrastructure is secure, seamless, and aligned with modern security practices. The team uses strategies like zero trust, multi-factor authentication, and granular role-based access controls to safeguard our internal operations.

While each area has its own focus, collaboration is key - it's why we share the same Slack channel and hold our standups together as one cohesive team, ensuring alignment and seamless communication across all security functions.

• Supporting the development and implementation of a strategic vision for threat detection, driving the overall direction and priorities for a team of highly talented engineers.
• Getting hands-on with SIEM systems, including creating custom log-parsers for in-house applications, configuring alert rules, performing log analysis and tuning detections to reduce false positives.
• Creating security automations and services to automate mundane tasks; from data enrichment to automatically removing phishing emails from employee mailboxes. We want you to run with the “anything is possible” mantra.
• Continuously hunting for sophisticated threats across our infrastructure, leveraging threat intelligence and innovative detection techniques to stay ahead of attackers. You'll monitor and respond to threats across AWS, GCP, internal applications, and employee endpoints (Windows, macOS).
• Collaborating with cross-functional teams to develop and implement; business-specific threat detection rules. 
• Responsible for ensuring the quality of detections, and uptime of our detection ecosystem through mature test driven development paired with proactive health monitoring capabilities.
• Identifying opportunities to build or enhance internal tools that streamline threat detection processes, improve data visibility, and increase response efficiency.
• Leading complex incident investigations, coordinating efforts across the security, IT, and engineering teams to ensure rapid and effective containment, remediation, and recovery.
• Support as part of the wider security incident response on-call rota.

WHAT WE ARE LOOKING FOR:

• Strong knowledge with one of the following: Splunk, Scanner, Sentinel, SecOps.
• Strong understanding of modern attack and defence techniques which apply to Cloud (AWS, GCP), SaaS (such as Google Workspace and Okta) and desktop (Windows and macOS) environments.
• Passion for passing on knowledge to fellow colleagues.
• Hands-on attitude and the ability to drive solutions to completion.
• Strong experience in security automation, from writing scripts to creating end-to-end automated workflows. Familiarity with SOAR platforms and automating threat detection and response tasks.
• Excellent spoken and written communication skills.
• Experience with writing automation and scripts; bonus points if you have a repository to show-case your work.

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 champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. 

ABOUT THE ROLE:

The Tide Security Engineering team is made up of three core areas: Product Security, Identity, Threat Detection & Response

Product Security consists of application and cloud security experts. Their mission is to protect the products we build, covering everything from secure design reviews to threat modelling and penetration testing, ensuring security is embedded from the ground up.

Threat Detection & Response (this role!) focuses on protecting the company by building a robust detection and automation platform. We’re proactive in our defence, constantly hacking ourselves to improve our security posture and staying ahead of emerging threats. Our goal is to make Tide resilient against the ever-evolving threat landscape.

Identity is responsible for managing Tide's staff identity platform, ensuring that access to systems and infrastructure is secure, seamless, and aligned with modern security practices. The team uses strategies like zero trust, multi-factor authentication, and granular role-based access controls to safeguard our internal operations.

While each area has its own focus, collaboration is key - it's why we share the same Slack channel and hold our standups together as one cohesive team, ensuring alignment and seamless communication across all security functions.

• Supporting the development and implementation of a strategic vision for threat detection, driving the overall direction and priorities for a team of highly talented engineers.
• Getting hands-on with SIEM systems, including creating custom log-parsers for in-house applications, configuring alert rules, performing log analysis and tuning detections to reduce false positives.
• Creating security automations and services to automate mundane tasks; from data enrichment to automatically removing phishing emails from employee mailboxes. We want you to run with the “anything is possible” mantra.
• Continuously hunting for sophisticated threats across our infrastructure, leveraging threat intelligence and innovative detection techniques to stay ahead of attackers. You'll monitor and respond to threats across AWS, GCP, internal applications, and employee endpoints (Windows, macOS).
• Collaborating with cross-functional teams to develop and implement; business-specific threat detection rules. 
• Responsible for ensuring the quality of detections, and uptime of our detection ecosystem through mature test driven development paired with proactive health monitoring capabilities.
• Identifying opportunities to build or enhance internal tools that streamline threat detection processes, improve data visibility, and increase response efficiency.
• Leading complex incident investigations, coordinating efforts across the security, IT, and engineering teams to ensure rapid and effective containment, remediation, and recovery.
• Support as part of the wider security incident response on-call rota.

WHAT WE ARE LOOKING FOR:

• Strong knowledge with one of the following: Splunk, Scanner, Sentinel, SecOps.
• Strong understanding of modern attack and defence techniques which apply to Cloud (AWS, GCP), SaaS (such as Google Workspace and Okta) and desktop (Windows and macOS) environments.
• Passion for passing on knowledge to fellow colleagues.
• Hands-on attitude and the ability to drive solutions to completion.
• Strong experience in security automation, from writing scripts to creating end-to-end automated workflows. Familiarity with SOAR platforms and automating threat detection and response tasks.
• Excellent spoken and written communication skills.
• Experience with writing automation and scripts; bonus points if you have a repository to show-case your work.

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 champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. 

What We Need

NetBrain is looking for a DevOps Engineer who will combine deep network domain knowledge of current operational challenges. In this role, You'll focuses on AWS cloud infrastructure, automation, and secure deployments.NetBrain has a global presence with offices worldwide. There are opportunities for employees with top performance to transfer to other offices in the future. 

What You'll Do

• Collaborate with product, development and security teams to deliver solutions efficiently and securely.
• Design, deploy and manage scalable AWS cloud infrastructure, using advanced scripts and tools to ensure the implementation of infrastructure as code (using Terraform, CloudFormation or AWS CDK).
• Build and maintain CI/CD pipelines with automated testing and deployment gating (CodePipeline, CodeBuild, Github Actions or Jenkins).
• Automate provisioning and deployments for microservices and serverless workloads.
• Establish monitoring, tracing and alerting with CloudWatch, Prometheus/Grafana, Datadog and X-Ray.
• Implement centralized logging.
• Manage IAM roles, policies and enforce least-privilege access and implement encryption (at rest and in transit), secure APIs and AWS WAF.
• Integrate container security practices while supporting compliance efforts with automated controls and documentation.
• Configure and manage VPCs, subnets, routing, NAT gateways and secure connectivity.
• Design and maintain highly available multi-AZ and multi-region architectures.
• Develop and test backup and disaster recovery strategies (AWS Backup, RDS snapshots, S3 versioning).
• Respond to incidents, perform root cause analysis and implement preventative measures.
• Maintain clear technical documentation, runbooks and onboarding guides.

Who You Are

• 5 years of experience with cloud-related technologies such as AWS, Azure, or Google Cloud with a bachelor’s degree; or 3 years and a master’s degree.
• Expertise in programming in Python, Ruby, or Bash scripting languages.
• Solid understanding of CI/CD tools.
• AWS Professional  Certification is a plus.
• Familiar with the provision and configuration using management tools (e.g., Puppet, Chef, Ansible).
• Familiar with application monitoring tools like ELK, Splunk, or Datadog.
• Familiar with IaC such as Terraform or CloudFormation.
• Experience with SAAS project implementation. 

The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

• Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

• Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

• Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
• Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
• Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
• Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

• Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
• Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
• Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

• Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

• Languages: Python (Expert).
• AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
• Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

About the role: 

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

Required skills

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

Roles & Responsibilities

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

Education

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

Senior Data (Platform) Engineer 

Location: Hyderabad | Department: Technology, Data 

About the Role 

Are you passionate about building reliable, scalable data platforms that make analytics and AI development easier? As a Senior Data Platform Engineer, you will be hands-on in building, operating, and improving our core data platform and AI/LLM enablement tooling. 

You’ll focus on infrastructure, orchestration, CI/CD, and reusable frameworks that support analytics engineering and AI-driven use cases. You’ll work closely with Analytics Engineering and Insights teams and support other departments as they integrate with our data systems. 

What You'll Do 

Data Platform & Infrastructure

• Build, deploy, and operate cloud infrastructure for data and AI workloads using Infrastructure as Code (Terraform).
• Provision and manage cloud resources across development, staging, and production environments.
• Develop and maintain CI/CD pipelines for data transformations, orchestration workflows, and platform services.
• Operate and scale containerized workloads on Kubernetes, including Airflow, internal APIs, and AI/LLM services.
• Troubleshoot and resolve infrastructure, pipeline, and orchestration failures to ensure platform reliability.
• Maintain and support existing ML services and pipelines to ensure stability and reliability (No expectation to design or develop new ML models or training pipelines).
• Continuously monitor and optimize platform performance and cost. 

Framework, Tooling and Enablement

• Build and maintain reusable frameworks and patterns for dbt, Airflow, Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.), Internal data and AI APIs
• Build and support infrastructure and pipelines for AI/LLM-based use cases, including orchestration, integration, and serving.
• Improve developer experience for Analytics Engineering and Insights teams by reducing friction in local development, deployments, and production workflows.
• Create and maintain technical documentation and examples to support self-service analytics and data development. 

What You’ll Need 

Technical Skills & Experience

• 5+ years of experience in data engineering, platform engineering, or similar hands-on roles.
• Strong programming skills in Python and SQL.
• Hands-on experience with:
  • Terraform
  • Airflow
  • dbt
  • Kubernetes
  • Cloud platforms (AWS, Google Cloud, or Microsoft Azure)
  • CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, etc.)
  • Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.) 
• Strong understanding of analytical data models and how analytics teams consume data.
• Experience integrating and operating LLM-based pipelines and services (not model training). 

Soft Skills & Collaboration

• Strong problem-solving skills and ability to debug complex platform issues.
• Strong preference for declarative development, with the ability to clearly separate what a system should do from how it is implemented.
• Clear communicator who can work effectively with both technical and non-technical stakeholders.
• Pragmatic, ownership-driven mindset with a focus on reliability and simplicity. 

Why Join Us? 

We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward, together. 

Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Are you a passionate security defender eager to outsmart advanced threats and fortify the future of secure digital work? At Ivanti, as a Senior ThreatOps Analyst, you will be at the very heart of our security operations—actively driving innovation in threat detection, incident response, and intelligence gathering to protect organizations worldwide. Join our collaborative, forward-thinking team and make a tangible impact as you defend, respond, and shape security in an ever-evolving digital landscape. Your expertise will help protect countless users, safeguard mission-critical services, and enable secure innovation without boundaries.

Why this role matters

As a Senior ThreatOps Analyst at Ivanti, you will play a mission-critical role in the security of our cloud and on-premises environments. Your efforts inform and empower Ivanti’s ability to detect, investigate, and respond to emerging threats—ensuring our technology remains trusted, resilient, and ready for the challenges of tomorrow.

What you’ll do:

• Lead and execute security incident response, leveraging your deep expertise to manage and mitigate threats across Ivanti’s global footprint.
• Uncover both known and unknown threats using advanced incident response techniques, threat hunting, threat intelligence, and a strong understanding of attacker TTPs.
• Conduct thorough investigations involving external attacks, insider threats, and digital forensics, ensuring stakeholders stay informed with comprehensive reporting.
• Analyze security logs from diverse sources (SIEM, EDR, DLP, email threat detection, and cloud platforms such as Azure, AWS, and GCP), proactively identifying and disrupting potential threats before impact.
• Develop detection content, craft automation to streamline and elevate security response efficiency, and improve our overall detection and response capabilities.
• Provide actionable risk mitigation strategies, recommendations, and thorough documentation to enhance Ivanti’s security posture.
• Work closely with Senior Threat Analysts, the Incident Response Manager, and the Security Architecture team to coordinate, escalate, and resolve information security events.
• Contribute to knowledge sharing and mentorship within the team to build collective expertise in modern cyber defense.

What you will bring:

• Bachelor’s degree in Information Systems, MIS, Computer Science, Cybersecurity, or a related technical field.
• 7+ years’ experience in cybersecurity incident response, threat hunting, SOC operations, and/or digital forensics in enterprise-scale environments.
• Experience in Mimecast and Falcon NG-SIEM is must.
• Mastery of security tools and platforms including SIEM, EDR, DLP, email security gateways, cloud security (Azure, AWS, GCP), forensic toolsets, and network security solutions.
• Expertise with Windows, Linux, and/or Mac operating systems—at the filesystem and artifact level.
• Strong familiarity with the MITRE ATT&CK framework and hands-on experience in mapping real-world attacks to attacker techniques.
• In-depth understanding of anomalous activity, lateral movement, living-off-the-land techniques, and common attacker tradecraft.
• Excellent organizational skills, time management, and ability to thrive in dynamic, fast-paced environments.
• Exceptional communication skills—able to produce clear reports and guidance for both technical and non-technical stakeholders.
• Proven collaboration skills with internal and external teams to effectively research and implement countermeasures against novel and persistent threats.
• Bonus points for:** Industry-recognized certifications such as SANS (GCIH, GCFA, GNFA), CompTIA (CySA+, Security+), EC-Council (CEH), or Blue Team certifications.

Why Ivanti?

• Remote-friendly, flexible schedules: Empower excellence in every setting and elevate human potential.
• Competitive compensation & total rewards: Including health, wellness, and financial plans tailored for you and your family.
• Global, diverse teams: Collaborate with talented people from 23+ countries.
• Learning & development: Grow your skills with access to best-in-class learning tools and programs.
• Equity & belonging: We value every voice. Your story helps inform our solutions for a changing world.

What drives us

Ivanti’s mission is to elevate human potential within organizations by managing, protecting and automating technology for continuous innovation.

It is through diverse and inclusive hiring, decision-making, and commitment to our employees and partners that we will continue to build and deliver world-class solutions for our customers.

To learn more about Ivanti’s  Mission and Core Values.

Inclusion at Ivanti

Ivanti is proud to be an Equal Opportunity Employer. We’re committed to building a diverse team and fostering an inclusive environment where everyone belongs. We welcome applicants from all backgrounds and walks of life.
Need adjustments during the process? Reach out to talent@ivanti.com—​we’re happy to help.

Ready to make your mark?
Apply today and shape the future of Everywhere Work with Ivanti!

#L1-SHUBHANGI

Responsibilities

We are looking for an experienced and exceptional Senior AI Engineer (Voice AI) to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. If building AI products from zero to one that scales to serve millions of users from first principles of AI and engineering, you are at the right place. We are building organization-aligned agents that are consistent at scale from the ground up and looking for passionate builders who are rooted in foundational AI knowledge to reimagine the agent control and data plane.

As part of this role you will:

• Design and implement advanced AI/ML systems with a focus on SLMs, LLMs, AI Agents, and Search architectures.

• Build conversational AI interfaces that handle multi-turn low latency chat/voice customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary.

• Build production-grade AI pipelines for data processing, model training, fine-tuning, benchmarking (dual-control, fluid model etc.) and serving at scale.

• Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, LLM evaluations, human evaluations and conversation outcomes to improve model performance over time. Reinforce organizational policies based on knowledge bases, conversational data and memory systems.

• Create AI based analytics dashboards and reporting tools to track automation effectiveness, tracing for identifying bottlenecks, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores. Quality assurance, management to get actionable insights from customer conversations and create evals for the current generation agents.

• Lead technical initiatives for AI system integration into existing products and services.

• Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.

• 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).

• Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using SLMs, LLMs (commercial, open-source models).

• Demonstrated strong foundational understanding and appreciate first principles thinking in ML, NLP (transformer based models).

• Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, dialogue state tracking and conversation flow management for building a reliable framework for context engineering.

• Expertise in tuning streaming ASR and TTS engines, Speech to Speech models for context and domain aware transcriptions and naturalness in voice.

• Expertise in conversation mining for identifying customer intents, root cause analysis, sentiment, resolution, policy adherence for not just auditing but truly understanding conversations for business outcomes across large enterprise scale.

• Expertise in working with use case based SLMs for realtime agent coaching and recommendations.

• Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions.

• Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling.

• Deep knowledge of REST API design, Pub-Sub architectures and integration patterns

• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases (added advantage but not necessary skill)

• Strong understanding of software architecture, scalability, security, and system design.

• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus

• Experience with A/B testing and experimentation frameworks.

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts

• Collaborative mindset for cross-functional team work

• Detail-oriented with a strong focus on quality

• Self-motivated and able to work independently

• Passion for solving complex search problems

(REQ ID: 2676)

Responsibilities

We are seeking an exceptional Staff Automation Engineer to design and implement innovative solutions that empower our Product, Engineering, and Customer Success teams to move faster, build smarter, and deliver more value to our customers.

You’ll work at the intersection of SaaS, cloud platforms, and automation—provisioning and managing cloud resources, developing tools for seamless operations, and automating critical infrastructure processes. Your expertise will help incubate new projects, streamline CI/CD, and ensure our environments are secure, scalable, and reliable.

If you thrive in a collaborative, fast-paced environment and love solving complex challenges with technology, this is your opportunity to make a real impact. Join us and help drive the next generation of cloud automation at Workato!

In this role, you will also be responsible to:

• Lead end-to-end cloud infrastructure automation projects aligned to business requirements — owning architecture, delivery, and outcomes across the full project lifecycle, to drive operational efficiency, scalability, and reliability in the business.

• Design challenging, enterprise-grade automation architectures spanning multi-system integrations, event-driven workflows, and infrastructure provisioning pipelines.

• Architect and implement cloud infrastructure for project incubation, including provisioning cloud accounts, deploying services, automating CI/CD pipelines, and enforcing security best practices.

• Design and automate infrastructure-related processes to drive operational efficiency, scalability, and reliability.

• Partner closely with stakeholders across product, security, engineering, operations, and business leadership to translate needs into technical solutions, communicating trade-offs clearly to both technical and executive audiences.

• Drive cross-functional project execution — anticipate risks early, remove blockers, and keep delivery moving without sacrificing scalability or quality.

• Design, build and enhance tools for efficient management and monitoring of cloud services and resources. These tools will be used by Product, Marketing, and Field teams to create and maintain connectors, build POCs, and impactful demos.

• Mentor and elevate peer engineers through design reviews, hands-on coaching, and knowledge transfer on complex cloud infrastructure topics.

• Set the technical bar for the team by championing best practices in solution design, documentation, governance, and continuous learning.

• Continuously evaluate and adopt new technologies, tools, and Workato features to enhance automation capabilities and infrastructure operations.

Requirements

Qualifications / Experience / Technical Skills

Required:

• 7+ years of hands-on experience delivering end-to-end automation and cloud infrastructure projects — from requirements through production deployment.

• Demonstrated experience managing full project lifecycles: scoping, architecture, stakeholder alignment, delivery, and post-launch iteration.

• Track record of delivering complex, multi-system integrations in cross-functional environments involving Engineering, Product, and business stakeholders.

• Experience working with CI/CD pipelines and IaC tools (Terraform, CloudFormation) in real production environments, not just prototypes.

• Proven experience designing, building, and maintaining automation solutions for cloud infrastructure (AWS, Azure, GCP, or similar), including CI/CD pipelines, infrastructure provisioning, and SDLC best practices.

• Strong hands-on knowledge of cloud architecture, networking, and security best practices.

• Hands-on experience with iPaaS, workflow automation, or low-code/no-code integration platforms; Workato experience strongly preferred.

• Excellent communication and stakeholder collaboration skills — able to translate technical complexity for both engineering and business audiences.

• Strong technical documentation skills for solutions, architectures, and operational processes.

Ideal:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.

• Experience mentoring engineers and driving adoption of engineering best practices at team level.

• Workato platform certification or demonstrated advanced proficiency.

• Experience with process orchestration tools implementing integration projects involving complex enterprise systems (e.g., SAP, Oracle, Dynamics) and cloud business apps (e.g., Workday, NetSuite, Salesforce).

• Certifications in major cloud platforms (AWS Certified Solutions Architect, Azure Solutions Architect, etc.).

• Background in enterprise architecture and solution design patterns (e.g., SOLID, DRY, KISS).

• Familiarity with security automation, policy-as-code, and cloud governance frameworks.

• Experience integrating cloud infrastructure with business systems (e.g., ITSM, CRM, ERP) via APIs and connectors.

Soft Skills / Personal Characteristics

• Collaboration & Stakeholder Partnership: Has worked across Engineering, Product, Customer Success, and business teams on real, end-to-end projects — knows how to align stakeholders, navigate competing priorities, and keep delivery moving.

• Communication: Communicates complex technical concepts clearly and confidently to both technical and non-technical audiences — in written docs, design reviews, and stakeholder presentations.

• Ownership & Initiative: Takes end-to-end accountability for project outcomes — from ambiguous requirements to delivered solution — without needing direction or hand-holding.

• Adaptability: Has navigated changing requirements, shifting priorities, and technical unknowns mid-project and delivered anyway.

• Influence & Leadership: Drives technical decisions and best practices through expertise and credibility; mentors peers and elevates team capability.

(REQ ID: 2732)

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)

Responsibilities

We are seeking a Senior Full Stack Software Engineer to lead the development of cutting-edge AI-powered applications. In this role, you’ll work across the stack—building robust Python-based backends, developing intuitive frontends in React, and architecting scalable systems that handle high-throughput data and real-time AI model integration.

This is a hands-on technical lead position for someone passionate about building production-ready AI products that are fast, secure, and user-friendly.

• Design and develop full stack AI applications, integrating powerful AI models with seamless front-end user experiences.

• Build scalable, production-grade backend services and REST APIs using Python.

• Develop clean, performant, and reusable React.js components for modern web interfaces.

• Architect efficient and secure data workflows, leveraging PostgreSQL for transactional data and ClickHouse for analytics and high-performance querying.

• Collaborate closely with AI/ML engineers, product managers, and DevOps to bring models to life in real-world applications.

• Lead architecture discussions and set engineering best practices across the stack.

• Optimize application performance, scalability, and reliability across backend and frontend systems.

• Mentor junior developers and contribute to a culture of engineering excellence.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, related field, or equivalent practical experience. We value both traditional education and self-taught expertise.

• 5+ years of professional software development experience, with significant exposure to both frontend and backend technologies.

• Expertise in Python, with a strong understanding of building APIs, microservices, and data pipelines.

• Proven experience developing production-ready frontend applications using React.js (or similar frameworks).

• Deep knowledge of REST API design and integration patterns.

• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases.

• Familiarity with integrating AI/ML models into applications (directly or via APIs).

• Strong understanding of software architecture, scalability, security, and system design.

• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.

Soft Skills / Personal Characteristics

• Excellent verbal and written communication skills; able to clearly articulate technical ideas and trade-offs.

• Strong sense of ownership, accountability, and leadership.

• Passion for AI and delivering impactful, data-driven software solutions.

• Comfortable working in a fast-paced, collaborative, and iterative environment.

• Willingness to mentor others and help raise the overall bar for engineering quality.

Job Req ID: 2319

Responsibilities

We are seeking a hands-on, detail-oriented Solutions Engineer to join our Solution Consulting team and support demo and proof-of-value (PoV) environments for sales, marketing, and customer success initiatives. You will collaborate with solutions architects, product managers, and developers to ensure that lab infrastructure is robust, secure, and aligned with real-world use cases.

In this role, you will be responsible to:

Pre-Sales & Technical Engagement

• Partner with AEs, Solution Architects, and cross-functional teams to deliver tailored platform demonstrations, manage POC engagements, and respond to RFI/RFP requests — driving technical sales cycles to completion.Collaborate with Customer Success to ensure seamless solution delivery and a positive post-sale customer experience.

Demo Environment & Infrastructure

• Design, deploy, and maintain virtual and physical lab environments across hybrid cloud and on-premise platforms (VMware, KVM, AWS, Azure, GCP), ensuring availability, security, and alignment with the latest product releases.Develop and maintain automation scripts (PowerShell, Python, Bash, Ansible, Terraform) and reusable components to streamline environment provisioning and accelerate field team deployments.

Collaboration & Enablement

• Work cross-functionally with Solution Architects, Product Managers, and Field Engineering to ensure demo content reflects current product capabilities and best practices.Maintain comprehensive documentation and troubleshooting guides, providing ongoing guidance and support to field teams on demo setup and usage.

Requirements

Qualifications / Experience / Technical Skills

• 2–4 years of experience in systems engineering, presales, back office support, deve ops, IT infrastructure

• Familiarity with infrastructure automation tools (e.g., Ansible, Terraform, Packer).

• Familiar with APIM, Integration, and Data Integration platforms (Boomi, Workato, Mulesoft)

• Basic scripting skills in Python, Ruby, PowerShell, or Bash.

• Experience managing cloud-based resources (e.g., AWS EC2, Azure VM).

• Strong problem-solving skills and the ability to work independently.

Preferred:

• Experience with CI/CD pipelines and version control (e.g., GitLab CI, GitHub Actions).

• Familiarity with containerization technologies (e.g., Docker, Kubernetes).

• Experience working with demo platforms or technical enablement teams.

• Understanding of enterprise software architectures and APIs (REST, gRPC).

Soft Skills / Personal Characteristics

• Strong written and verbal communication skills to collaborate effectively across technical and non-technical teams.

• Able to translate technical requirements into actionable lab builds.

• Highly organised, with the ability to manage multiple concurrent tasks or environments.

• Comfortable working in fast-paced and collaborative settings.

OUR MISSION

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

ABOUT US

Redwood Software is the leader in full stack automation fabric solutions for mission-critical business processes. With the first SaaS-based composable automation platform specifically built for ERP, we believe in the transformative power of automation. Our unparalleled solutions empower you to orchestrate, manage and monitor your workflows across any application, service or server — in the cloud or on premises — with confidence and control.

Redwood’s global team of automation experts and customer success engineers provide solutions and world-class support designed to give you the freedom and time to imagine and define your future. Get out of the weeds and see the forest, with Redwood Software.

CORE VALUES

One Team. One Redwood

Make Your Own Weather

Obsess over Customer Success

Work the Problem

Be Curious

Own the Outcome

Respect Each Other

YOUR IMPACT
The Professional Service Consultant role is instrumental in assisting Redwood customers ranging from Fortune global enterprises to midsized businesses to leverage our solutions to orchestrate automation across distributed and heterogeneous platforms and enterprise business applications including SAP, Oracle, PeopleSoft, data warehousing and OS tasks.

The range of responsibilities includes product installation and configuration, training, conducting workshops and providing best practices guidance to advance our customer’s automation business needs.

• Assist customers with installation, configuration, training and use of Redwood solutions
• Perform analysis, scoping, and effort estimation to meet customer requirements
• Provide configuration, architecture & installation recommendations based on product best practices & customer needs
• Coordinate with other Redwood resources including Engagement Managers to update project status, timeline, effort, and expected completion
• Communicate effectively and professionally with business and technical contacts
• Utilize supporting materials (project plan templates, architecture diagrams, etc) to communicate findings & recommendations to the customer or internally
• Travel to customers, partners, and Redwood Software sites as needed

YOUR EXPERIENCE

• 3+ years of IT Consulting experience
• Proven competence in IT Consulting, including training, installation, architecture design, and testing
• Interest in problem-solving & learning new technologies
• Experience or an understanding of SaaS solutions & integrations
• Knowledge of one or more Cloud providers (AWS, Azure, GCP, etc.)
• Knowledge of one or more identity providers (Active Directory, Okta, etc.)
• Knowledge and understanding of SSO, particularly SAML providers
• Knowledge of SAP jobs scheduling or other scheduling solutions (Autosys, Control-M)
• Experience with UNIX, Windows, & Linux at a power user level
• Experience and understanding of API usage, including REST and SOAP
• Knowledge of communication protocols, including HTTP, FTP, and SSH
• Good communication & presentation skills
• Excellent time management and task management skills
• Demonstrated ability to manage and prioritize multiple client projects
• Demonstrated ability to learn on the go/on the job in a fast-paced environment

ABOUT THE ROLE

You are a seasoned Data Scientist, passionate about building robust, real-time machine learning solutions to combat financial crime. Working within the Risk & Fraud Team, you will leverage advanced statistical modeling and machine learning to detect, prevent, and adapt to evolving fraud threats. You thrive on solving complex problems with highly imbalanced data and delivering tangible risk reduction impact in a fast-paced environment.

You strongly believe in agile principles and use them to deliver value incrementally. You are eager to learn about new methodologies and practices and apply them directly in your work.

As a Senior Data Scientist you’ll be:

• Model Development & Risk Mitigation: Design, develop, and implement advanced ML/Statistical models to predict and prevent various fraud typologies. Focus on driving impact by optimising costs and reducing risk using ML/Stats models.
• Specialised Data Handling: Employ advanced techniques to manage and model highly imbalanced, large datasets characteristic of the fraud domain.
• Adaptive Systems: Build and maintain models that can quickly adapt to new and evolving fraud typologies and emerging threats.
• Real-Time MLOps: Develop, optimise, and deploy ML models for real-time/low-latency inference in production settings.
• Data & Feature Engineering: Utilize, enrich, and contribute to the feature store ecosystem, ensuring high-quality, scalable features for risk models.
• Performance Monitoring: Implement and maintain robust drift monitoring and model performance tracking to ensure deployed models remain effective and stable.
• Collaboration: Work closely with ML Engineers to productionize models leveraging AWS/GCP tech stack, and collaborate with Business and Product teams to understand requirements and solutionise data products.
• Exploration: Identify creative solutions in order to build relevant training data sets and explore the value of new data structures like knowledge graphs for relational fraud detection.

WHAT ARE WE LOOKING FOR

• You have 6+ years of experience in Software Development or Machine Learning, with a strong emphasis on practical model development and deployment.
• You are Strong in Python and have expert knowledge with Machine Learning tools/libraries (e.g., scikit-learn, statmodels, TensorFlow, Keras, or PyTorch).
• You have experience with big-data technologies such as Spark, SparkML, Hadoop etc. and have handled large data in a distributed processing environment. AWS, GCP, or Azure (anyone) cloud knowledge is preferred.
• You are proficient in ML training, optimising, feature selection and engineering, hyperparameter tuning and have knowledge about trade-offs in using different algorithms.
• You have demonstrated experience in developing and deploying a variety of ML-algorithms (e.g., logistic regressions, boosted trees, neural networks) that work in real-time settings.
• You have a good working knowledge with basic data table operations (SQL etc.), and data transform in the warehouse (dbt etc.).
• You are comfortable with ambiguity and are a self-starter—you take initiative in spotting opportunities and finding ways to solve challenges with data.
• Familiarity with Financial Services and Fintech space is preferred.
• You will be helping optimise all aspects of our sales funnel including finding ways to increase lead quality, reduce our cost of acquisition, optimise lead allocation, and improve the likelihood of successful lending outcomes for our members

Highly Desirable Skills:

• Exposure to Cost-Sensitive Learning techniques, where the economic impact of prediction errors is a key optimization factor.
• A decent idea and practical exposure to MLOps principles (e.g., model versioning, continuous integration/deployment for ML).
• Experience with Drift monitoring tools and frameworks.
• Exposure to Knowledge Graphs or graph database applications.

• 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 champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE

You are a seasoned Data Scientist, passionate about building robust, real-time machine learning solutions to combat financial crime. Working within the Risk & Fraud Team, you will leverage advanced statistical modeling and machine learning to detect, prevent, and adapt to evolving fraud threats. You thrive on solving complex problems with highly imbalanced data and delivering tangible risk reduction impact in a fast-paced environment.

You strongly believe in agile principles and use them to deliver value incrementally. You are eager to learn about new methodologies and practices and apply them directly in your work.

As a Senior Data Scientist you’ll be:

• Model Development & Risk Mitigation: Design, develop, and implement advanced ML/Statistical models to predict and prevent various fraud typologies. Focus on driving impact by optimising costs and reducing risk using ML/Stats models.
• Specialised Data Handling: Employ advanced techniques to manage and model highly imbalanced, large datasets characteristic of the fraud domain.
• Adaptive Systems: Build and maintain models that can quickly adapt to new and evolving fraud typologies and emerging threats.
• Real-Time MLOps: Develop, optimise, and deploy ML models for real-time/low-latency inference in production settings.
• Data & Feature Engineering: Utilize, enrich, and contribute to the feature store ecosystem, ensuring high-quality, scalable features for risk models.
• Performance Monitoring: Implement and maintain robust drift monitoring and model performance tracking to ensure deployed models remain effective and stable.
• Collaboration: Work closely with ML Engineers to productionize models leveraging AWS/GCP tech stack, and collaborate with Business and Product teams to understand requirements and solutionise data products.
• Exploration: Identify creative solutions in order to build relevant training data sets and explore the value of new data structures like knowledge graphs for relational fraud detection.

WHAT ARE WE LOOKING FOR

• You have 6+ years of experience in Software Development or Machine Learning, with a strong emphasis on practical model development and deployment.
• You are Strong in Python and have expert knowledge with Machine Learning tools/libraries (e.g., scikit-learn, statmodels, TensorFlow, Keras, or PyTorch).
• You have experience with big-data technologies such as Spark, SparkML, Hadoop etc. and have handled large data in a distributed processing environment. AWS, GCP, or Azure (anyone) cloud knowledge is preferred.
• You are proficient in ML training, optimising, feature selection and engineering, hyperparameter tuning and have knowledge about trade-offs in using different algorithms.
• You have demonstrated experience in developing and deploying a variety of ML-algorithms (e.g., logistic regressions, boosted trees, neural networks) that work in real-time settings.
• You have a good working knowledge with basic data table operations (SQL etc.), and data transform in the warehouse (dbt etc.).
• You are comfortable with ambiguity and are a self-starter—you take initiative in spotting opportunities and finding ways to solve challenges with data.
• Familiarity with Financial Services and Fintech space is preferred.
• You will be helping optimise all aspects of our sales funnel including finding ways to increase lead quality, reduce our cost of acquisition, optimise lead allocation, and improve the likelihood of successful lending outcomes for our members

Highly Desirable Skills:

• Exposure to Cost-Sensitive Learning techniques, where the economic impact of prediction errors is a key optimization factor.
• A decent idea and practical exposure to MLOps principles (e.g., model versioning, continuous integration/deployment for ML).
• Experience with Drift monitoring tools and frameworks.
• Exposure to Knowledge Graphs or graph database applications.

• 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 champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

About the Role:

Crunchyroll is looking for a Principal Software Engineer to lead the development, architecture, and evolution of our core digital media supply chain systems that power our global streaming platform. 

You will partner closely with the Principal Solutions Architect for Digital Supply Chain, as well as Digital Supply Chain Operations, Production Technology, Business Transformation, and Engineering teams to define and implement the next generation of scalable, automated workflows across video, audio, subtitles, artwork, and metadata. 

This role is hands-on and highly technical, combining deep media pipeline engineering expertise with cloud-native architecture, modern software development, and a strong drive for innovation and modernization across the supply chain ecosystem.

What You’ll Do:

About You:

• Design and build scalable, automated digital media supply chain services across ingestion, transformation, QC, and delivery
• Architect cloud native microservices and event-driven workflows to support high-volume processing of video, audio, subtitle, artwork, and metadata assets
• Partner with the Principal Solutions Architect to translate architectural vision into high-quality, production-ready engineering solutions
• Collaborate with engineering and product leads to define technical requirements, roadmap priorities, and implementation strategies
• Improve observability, monitoring, logging, and operational automation throughout the pipeline
• Drive innovation initiatives, prototyping, and exploration of new workflow optimizations and next-generation supply chain capabilities
• Mentor engineers, participate in design reviews, and raise engineering quality across the organization

What We’re Looking For

• 15+ years of software engineering experience across large-scale distributed or cloud-native systems
• Proven experience building media supply chain, OTT, or DTC streaming workflows
• Strong knowledge of metadata standards, content hierarchy, track mappings, artwork workflows
• Hands-on expertise with AWS or GCP, cloud-native architectures, serverless services, and distributed systems
• Strong development experience in Python, with exposure to Node.js/TypeScript or similar languages
• Experience integrating with MAM, Rights Management, localization, ordering, or entitlement systems
• Ability to influence and lead technical direction across multiple teams without direct authority
• Excellent problem-solving ability and comfort operating in fast-paced, ambiguous environments
• Strong communication skills and ability to shape engineering decisions across the organization

About the role

Crunchyroll is growing and evolving, presenting unique challenges and opportunities to support millions of anime fans worldwide. The Fan Experiences team provides seamless help to our partners and internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

As a Principal Software Engineer, you'll work on architecting and developing critical consumer-facing applications at scale. You will own technical engagements and be the key driver in finding creative/innovative solutions that lead Crunchyroll’s experiences to the next level.

In this role, you will have the opportunity to lead projects that require close collaboration with other teams like Product, Engineering, Business Development, Program Management, and Marketing. You'll play a key role in improving existing operations, defining and commercializing new solutions, bridging product gaps, automating partner operations, and taking new initiatives from conception to successful deployment. You will lead and develop prototypes and an MVP for testing and deployment of new systems

In the role of Principal Software Engineer, you will report to the Senior Director, Fan Experiences. We are considering applicants for the location of Hyderabad, India.

What We’re Looking For

• Bachelor's degree in Computer Science or equivalent practical experience.
• 15+ years of software engineering experience across large-scale distributed or cloud-native systems
• Hands-on expertise with AWS or GCP, cloud-native architectures, serverless services, and distributed systems
• Strong development experience in Node.js/TypeScript or similar languages
• Ability to influence and lead technical direction across multiple teams without direct authority
• Excellent problem-solving ability and comfort operating in fast-paced, ambiguous environments
• Strong communication skills and ability to shape engineering decisions across the organization

About the Team

The Fan Experiences team at Crunchyroll plays a pivotal role in enhancing and expanding our users' experiences. We collaborate extensively with a diverse network of partners to integrate, test, deploy, and improve the Crunchyroll streaming application, content discovery APIs, and billing integration APIs throughout the device lifecycle, using Crunchyroll tools and data. Our primary objective is to drive growth, open new acquisition channels, and optimize the scope and quality of our services. Situated at the intersection of technology and business, we are dedicated to continually delivering experiences that delight anime fans worldwide.

Software Engineer, Managed Service

At SingleStore, we're not just building a database company, we are defining the future of data management. Going beyond multi-cloud, we offer our customers flexible networking, storage and compute options to meet their requirements. They click a few options, and our service flies into action, using the latest capabilities of the big cloud providers and the industry-standard Kubernetes ecosystem to get the job done. This managed service helps make SingleStore an excellent choice for many of our customers.

We are looking for exceptional talent to help us push the boundaries of what’s possible with a managed database product. The next set of capabilities in the pipeline require overcoming difficult technical challenges in the areas of networking, control plane, and scaling services - inventing some of the future of what customers will come to expect from a managed database product.

As a part of the managed service team, you will design and implement new capabilities for our cloud offering involving deep extensions to our networking, control plane, and overall managed service. Your role will include working closely with our product teams to collaborate on meeting the needs of our most demanding long-time and new customers. In this role, you will be at the intersection of leading technology trends -  A highly performant distributed database, managed by Kubernetes, running in the cloud.  You will probably find yourself using Go and Kubernetes, with a generous sprinkling of whatever the right tool is for the job. We look forward to hearing from you!

Role and Responsibilities

• Work closely with product managers, designers, customers, and other engineers to ensure we deliver a high-quality experience
• Develop a world-class managed service responsible for providing an innovative operational database solution in the cloud
• Proactively contribute to the team's engineering process to assist with our ability to scale and deliver projects on time
• Mentor junior engineers and contribute to a welcoming team environment

Required Skills and Experience

• Must have experience working with distributed systems and containerized services
• Must have experience working with cloud services in major clouds like AWS, Azure & GCP
• Good to have experience working with Kubernetes, preferably using Golang.
• 2+ years of experience working on a SaaS product
• Intellectual curiosity about investigating issues that impact business metrics
• Passion for building high-quality products that are robust and easy to maintain in a fast-paced, team-oriented environment

As employees are located in many different countries around the world, some benefits may differ from country to country. In all cases, we do our best to provide equitable perks and benefits across our locations.

This is a work-from-office / In-Office role based in our Hyderabad, India location.

We are looking for a Senior Software Engineer to join our team and work on the development of our SaaS product. In this role, you will lead the development of new features, improve system architecture, and ensure the scalability and reliability of our cloud-based software. You will collaborate with cross-functional teams to deliver high-quality software and contribute to the continuous improvement of the product.

Key Responsibilities:

• Architect and Design Software Solutions: Contribute towards design and architecture of new features for our SaaS product. Ensure that solutions are scalable, maintainable, and meet customer needs.
• Develop & Implement Features: Build and maintain robust and high-performing software solutions for our SaaS platform, writing clean, efficient, and testable code.
• Collaborate with Cross-Functional Teams: Work closely with product managers, designers, and other engineers to define and implement product features, ensuring that business requirements and customer needs are met.
• Optimize and Scale: Continuously improve application performance and scalability, focusing on optimizing cloud-based resources and database performance.
• Maintain Code Quality: Write unit and integration tests, conduct code reviews, and ensure adherence to coding standards. Participate in code reviews and provide feedback on engineering best practices.
• Mentorship: Provide technical leadership and mentorship to junior engineers, helping them grow their skills and achieve their career goals.
• Troubleshoot and Debug: Investigate and resolve software issues, working with the support team to fix bugs and improve the overall user experience.
• Security & Compliance: Ensure the SaaS product complies with security best practices and regulatory standards. Implement security features to protect user data and sensitive information.
• Continuous Improvement: Stay up to date with the latest technologies and industry trends, and incorporate modern practices into the development process. Participate in the iterative process of refining and evolving the product.
• Documentation: Produce clear technical documentation to support the development, deployment, and maintenance of software systems.

Required Skills and Qualifications:

• Bachelor's Degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
• Proven Experience: At least 8+ years of professional experience in software development, with significant experience working on SaaS products or cloud-based platforms.
• Programming Languages: Strong proficiency in languages commonly used for SaaS development (e.g., Golang, JavaScript, TypeScript, Python, Scala, Java).
• Cloud Platforms: Experience working with cloud platforms such as AWS, or Google Cloud, and an understanding of cloud architecture, microservices, and containerization..
• Database Management: Strong knowledge of relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB) and experience with database optimization.
• DevOps and CI/CD: Hands-on experience with CI/CD pipelines, containerization (Docker), and orchestration tools (e.g., Kubernetes).
• Agile Methodologies: Familiarity with Agile development processes and tools (e.g., Jira, GitHub).
• Version Control: Proficiency with version control tools like Git.
• Problem Solving: Excellent analytical and problem-solving skills, with a focus on delivering high-quality solutions.
• Communication: Strong written and verbal communication skills. Ability to communicate complex technical concepts to non-technical stakeholders.

Preferred Skills:

• SaaS Experience: Experience building, maintaining, and scaling SaaS applications, particularly in high-availability and high-traffic environments.
• Microservices Architecture: Familiarity with microservices architecture and cloud-native application patterns.
• Test Automation: Experience with test automation frameworks and practices.
• Security: Understanding of web application security, data encryption, and secure coding practices.
• Leadership: Previous experience mentoring or leading engineering teams.

This is a work-from-office / In-Office role based in our Hyderabad, India location.

Responsibilities:

• API Development: Design, implement, and maintain RESTful and gRPC APIs powering internal and external applications.
• Cloud Microservices: Architect and deploy scalable microservices in AWS/GCP/Azure using Kubernetes and modern DevOps practices.
• Data Pipelines: Build real-time and batch data pipelines, ensuring data accuracy, performance, and observability (EMR on EKS).
• Collaboration: Partner with cross-functional squad members to deliver features end-to-end, from concept to production.
• System Reliability: Optimize services for scalability, resilience, and high availability.
• Engineering Excellence: Contribute to architecture discussions, enforce coding standards, and drive best practices in CI/CD, testing, and monitoring.
• Security: Embed security and compliance into backend systems and data workflows.

Qualifications:

• Strong proficiency in Scala, Go, or Java and Python (experience with multiple is a plus).
• Proven experience with distributed systems, microservices, and event-driven architectures.
• Fundamental understanding of computer networking (including Wi-Fi), operating system, and database
• Hands-on expertise in cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
• Experience with Akka Streams/ Akka Actors.
• Familiarity with data engineering (ETL pipelines, real-time streaming with Kafka/Pulsar, batch processing frameworks).
• Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra, DynamoDB).
• Solid knowledge of CI/CD pipelines, testing frameworks, observability tools (Grafana, Prometheus, ELK).
• Strong problem-solving skills and the ability to thrive in an agile, squad-based environment.

Nice To Have:

• Functional programming experience in Scala.
• Experience with caching layers, distributed storage, and message queues.
• Familiarity with AI-powered developer tools such as ChatGPT, Cursor, GitHub Copilot, or similar to boost productivity.
• Contributions to open-source projects or personal projects showcasing backend innovation.

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 Us 

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. 

Role Summary

The L2 ARO Engineer provides advanced application support, focusing on Java and .Net based troubleshooting, incident resolution, RCA, change support, and reliability improvements. The role serves as the primary escalation point for L1, partnering with development, infrastructure, and middleware teams to ensure availability, performance, and operational excellence.

Key Responsibilities

Incident & Problem Management

• Own end‑to‑end resolution of incidents escalated from L1.
• Perform deep troubleshooting of Java applications, logs, JVM parameters, and platform components.
• Actively participate in or lead Major Incident (MI) bridges.
• Perform RCA and implement permanent fixes.
• Identify recurring issues, trends, and preventive actions.

Change, Release & Operational Readiness

• Review and support production changes related to applications/middleware.
• Perform post‑change validation and production checkouts.
• Highlight risks related to Java versions, certificates, dependencies, and configurations.
• Ensure applications meet availability, performance, and resilience targets.

Monitoring, Automation & Maintenance

• Monitor application health, performance metrics, and system behavior.
• Develop and enhance automation scripts (Shell/Python/PowerShell) for health checks, validations, and repetitive tasks.
• Improve monitoring dashboards, alerts, and observability coverage.
• Maintain and update runbooks, SOPs, and KB articles.

Collaboration & Stakeholder Communication

• Work closely with Dev (L3/L4), Infrastructure, DB, Middleware, and Security teams.
• Serve as the primary operational contact for assigned applications.
• Provide clear technical updates during incidents and changes.

Skills & Qualifications

Technical Skills

• Strong Java and .Net fundamentals and troubleshooting.
• Strong Unix/Linux and networking skills.
• Scripting (Shell/Python/PowerShell) – development & optimization.
• Experience with observability tools: Splunk, Grafana, AppDynamics, ELK.
• Solid understanding of ITSM processes (Incident, Problem, Change).
• Experience in RCA, DR validation, and resilience operations.

Soft Skills

• Strong analytical and problem-solving capabilities.
• Ownership mindset and ability to handle high pressure issues.
• Clear communication with stakeholders at all levels.

Experience & Education

• 3–6 years in application support, production operations, or ARO.
• Bachelor’s degree in engineering, Computer Science, or equivalent.

Working Conditions

• Rotational shifts including nights/weekends/holidays.
• Fast-paced environment with multiple priorities.
• Hybrid working model

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

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. 

Role Summary

The L3 ARO Engineer ensures end-to-end reliability, resilience, and performance of critical applications. This role acts as the final technical escalation point, leads major incidents, performs deep diagnostics (especially for Java and .Net based systems), drives permanent fixes, and influences architecture, automation, and operational standards. The engineer mentors L1/L2 teams and partners closely with Development, Architecture, Platform, and Security.

Key Responsibilities

Incident & Problem Management

• Lead major incident (MI) bridges and restore service with minimum business impact.
• Handle all L3 escalations, perform deep diagnostics across Java, JVM, middleware, OS, and infra.
• Own technical RCAs, drive long‑term and systemic remediation.
• Identify recurring failure patterns and risks.

Reliability Engineering

• Apply SRE principles: SLIs/SLOs, error budgets, resilience patterns.
• Tune JVM parameters, analyze thread/heap dumps, and improve performance.
• Influence application architecture for fault tolerance, scalability, and recoverability.
• Validate DR readiness, failover behavior, and resilience testing outcomes.

Change, Release & Risk

• Provide technical approval and risk assessment for high-risk changes.
• Enforce operational readiness for new apps and major releases.
• Ensure changes meet audit, compliance, and regulatory expectations.

Automation, Monitoring & Observability

• Build advanced automation using Shell/Python/PowerShell.
• Develop frameworks for health validation, automated recovery, and compliance checks.
• Define observability standards; optimize alerts and improve MTTR.

Leadership & Mentorship

• Mentor L1/L2 teams; review and approve runbooks, SOPs, and KB articles.
• Act as a trusted technical advisor to stakeholders and leadership.

Skills & Qualifications

Technical (Mandatory)

• Strong knowledge of application architecture, distributed systems, and middleware.
• Java expertise: JVM internals, GC, memory management, thread/heap dump analysis, performance tuning.
• .Net -- CLR internals, garbage collection, memory management, thread/dump analysis, and application performance tuning.
• Strong Unix/Linux, networking basics, and advanced scripting (Shell/Python/PowerShell/VBS).
• Advanced SQL and understanding of databases; Autosys (or equivalent scheduler).
• Handson with observability tools: Splunk, AppDynamics/Dynatrace, ELK, Grafana, Prometheus.

Reliability & Operations

• Major incident leadership, deep RCA, change/release readiness, DR & resilience engineering.
• Experience in regulated production environments.

Soft Skills

• Strong technical leadership and decision‑making.
• Clear communication during high‑pressure incidents.
• Ownership mindset and business awareness.

Experience & Education

• 7–12+ years in Application Reliability, Production Support, SRE, or platform operations.
• Bachelor’s degree in Computer Science/Engineering or equivalent.
• ITIL, cloud, or industry certifications (preferred).
• Banking/financial domain experience (preferred).

Working Conditions

• On‑call and after‑hours support as required.
• Fast‑paced environment with multiple priorities.
• Hybrid working model

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