Platform Manager QE – SaaS Platform 

Location: Coimbatore / Bangalore
Experience: 10 to 14 Years

Who we are and What we do?

AppViewX is trusted by the world’s leading global organizations to reduce risk, ensure compliance, and increase visibility through machine identity management and application infrastructure security and orchestration. At AppViewX, you will get to work with our bleeding edge Automation Platform that facilitates digital transformation through streamlined workflows to prevent outages, reduce security incidents and protect both an enterprise’s reputation and bottom line. AppViewX has also been certified as a Great Place to Work in India, cementing us as an employer of choice.

Glimpse of our Team

The core of AppViewX quality lies in building predictable releases through strong engineering discipline, automation-first practices, and measurable quality outcomes. Our Platform Quality Engineering team partners closely with Platform Engineering, SRE, and Product Engineering to ensure platform reliability, scalability, and resilience under real-world workloads.

As a Platform Manager QE, you will focus on validating how the platform behaves at scale, ensuring multi-tenant SaaS stability, upgrade safety, and non-functional excellence as the platform evolves.

What will you be responsible for?

• Own end-to-end platform quality outcomes, ensuring reliability, scalability, and stability across SaaS and customer-hosted deployments
• Define and execute a platform quality strategy aligned to SaaS scale, multi-tenancy, and infrastructure evolution
• Drive non-functional quality leadership, including:
  • Performance (P95/P99 latency, throughput)
  • Scalability (load, stress, capacity limits)
  • Reliability (failover, recovery, resilience)
  • Chaos testing (node, network, dependency failures)
• Validate platform behavior across:
  • Kubernetes-based deployments
  • Service mesh (Istio) and API gateway
  • Core platform services (auth, async jobs, notifications, logging)
• Ensure tenant isolation and noisy-neighbor impact validation in multi-tenant SaaS environments
• Own platform upgrade and deployment quality, including:
  • Backward compatibility
  • Data migration integrity
  • Configuration drift across environments
• Establish and govern continuous testing and QAOps practices for platform validation, including:
  • Production-like environments
  • CI/CD quality gates
  • Observability-driven validation (logs, metrics, traces)
• Drive platform-level automation strategy across API, performance, and resilience testing
• Provide platform readiness inputs to release certification, ensuring production-safe releases
• Analyze production incidents, performance degradations, and instability patterns, and drive preventive quality improvements
• Track and publish platform quality metrics (latency, stability, failure rates, incident trends) to guide engineering and leadership decisions
• Partner with Platform Engineering, SRE, and Product teams to identify and resolve systemic platform issues without impacting delivery velocity
• Lead, mentor, and grow a team of QE engineers focused on distributed systems, performance engineering, and reliability validation
• Influence architecture and design decisions to improve testability, scalability, and resilience outcomes
• Drive AI-assisted QE initiatives for performance analysis, anomaly detection, and intelligent regression optimization

What do we require? (Must Have)

• 10–14 years of experience in Quality Engineering with strong exposure to SaaS platforms and distributed systems
• Proven experience in non-functional testing:
  performance, scalability, reliability, chaos engineering
• Strong expertise in API and service-level automation (Python-based frameworks preferred)
• Hands-on experience with performance testing tools (JMeter, k6, Gatling, or similar)
• Experience with Kubernetes, containerized environments, and service mesh (Istio)
• Strong understanding of multi-tenant SaaS architectures and platform behavior under load
• Experience integrating quality practices into CI/CD pipelines and QA Ops workflows
• Strong debugging and root-cause analysis skills for production-scale issues
• Experience working with observability tools (Prometheus, Grafana, ELK, tracing systems)
• Strong Linux systems knowledge and environment troubleshooting skills
• Understanding of networking, security, and infrastructure concepts (TLS, DNS, load balancing)
• Strong stakeholder communication and ability to translate platform quality risks into business impact

What do we desire?

• Experience in cloud platforms (AWS / Azure / GCP) and hyperscaler environments
• Exposure to chaos engineering frameworks and reliability validation tools
• Experience with contract testing and service-level validation strategies
• Familiarity with AI-driven test optimization, anomaly detection, or quality intelligence
• Strong understanding of high-availability systems and distributed system failure modes

What You Bring as a Platform QE Manager at AppViewX

• You think in systems, scale, and failure modes, not just test cases
• You ensure platform reliability under real workloads, not just functional correctness
• You drive non-functional quality as a release gate, not a post-release activity
• You build predictable platform behavior through automation, observability, and continuous validation
• You translate technical platform risks into customer and business impact
• You mentor teams to move from test execution to engineering-driven quality ownership
• You operate with strong ownership, data-driven decisions, and disciplined escalation

What brings us together?

What makes us stand out from the rest is the people. The people who push hard every day to be smarter, passionate, resilient, creative, inclusive and curious. Surrounding ourselves with a bunch of diverse and talented minds has made us what we are, and we can't wait to see the positive impact it would have on you too!

What’s more in store?

AppViewX offers competitive benefits including incentives, health & wellness policies, investment schemes, flexible work models, and strong learning & development opportunities. We empower our employees with flexibility, ownership, and trust to drive impact.

Why AppViewX?

AppViewX serves Fortune 1000 enterprises globally, including leading banks, media companies, and healthcare providers. With a strong global presence and deep customer trust, we continue to scale our platform and engineering capabilities to solve critical enterprise challenges.

Equal Opportunity Statement

AppViewX is an Equal Employment Opportunity Employer committed to diversity, inclusion, and fair employment practices.

Responsibilities:

• • Manage a group of highly skilled senior engineers by providing technical management, guidance, coaching, best practices and principles
  • Active participation in the design, development, delivery, and maintenance of software projects
  • Responsible for resource planning, execution, and quality of the software delivered by the group
  • Lead the group to build sophisticated products using cutting-edge technology stack. The products will be used by retail customers and internal business users.
  • Work closely with various business stakeholders like Product Management Team, and other Engineering teams to drive the execution of multiple business strategies and technologies
  • Act as a point of contact for TCO (total cost of ownership), managing and driving production defects & stability improvements to resolution
  • Ensuring operational efficiency and actively participating in organizational initiatives with the objective of ensuring the highest customer value
  • Tailor processes to help manage time-sensitive issues and bring them to appropriate closure

Skills required:

• • A bachelor's degree in Computer Science with 7-9  years of experience
  • Minimum 3+ years of experience in Java programming and any of the Java frameworks such as Spring or Spring boot
  • Must have done Performance Appraisal, Hiring and building teams from ground up
  • Experience of working in highly dynamic Engineering environment like a start-up
  • Deep understanding of Object-Oriented programming languages
  • Strong technology acumen, knowledge of software engineering process, design knowledge and architecture intelligence
  • Exposure to any of the prominent cloud service providers (AWS/Azure/GCP)
  • Exceptional verbal and written communications skills
  • Attention to detail and quality, and the ability to work well in and across teams
  • Ability to advocate & influence multiple stakeholders
  • Experience and knowledge of delivering products with low/no-touch support along with SRE principles

Responsibilities:

• Manage a group of highly skilled senior engineers by providing technical management, guidance, coaching, best practices and principles
• Active participation in the design, development, delivery, and maintenance of software projects
• Responsible for resource planning, execution, and quality of the software delivered by the group
• Lead the group to build sophisticated products using a cutting-edge technology stack. The products will be used by retail customers and internal business users.
• Work closely with various business stakeholders, like the Product Management Team, and other Engineering teams to drive the execution of multiple business strategies and technologies
• Act as a point of contact for TCO (total cost of ownership), managing and driving production defects & stability improvements to resolution
• Ensuring operational efficiency and actively participating in organisational initiatives with the objective of ensuring the highest customer value
• Tailor processes to help manage time-sensitive issues and bring them to an appropriate closure

Skills required:

• A bachelor's degree in Computer Science with 8-10  years of experience
• Minimum 3+ years of experience in Java programming and any of the Java frameworks, such as Spring or Spring Boot
• Must have done Performance Appraisal, Hiring and building teams from the ground up
• Experience of working in a highly dynamic Engineering environment like a start-up
• Deep understanding of Object-Oriented programming languages
• Strong technology acumen, knowledge of software engineering process, design knowledge and architecture intelligence
• Exposure to any of the prominent cloud service providers (AWS/Azure/GCP)
• Exceptional verbal and written communication skills
• Attention to detail and quality, and the ability to work well in and across teams
• Ability to advocate & influence multiple stakeholders
• Experience and knowledge of delivering products with low/no-touch support, along with SRE principles

Role 

We are looking for an experienced Staff Machine Learning Engineer to join our Engineering team. This role is based in Bangalore, reporting to the Senior Engg. Manager - Data + AI.

You will be responsible for designing and developing large scale ML Systems that analyze massive volumes of network data to detect anomalies, threats, and patterns in near real-time. You’ll solve complex real-world business problems by partnering closely with data architects and product teams to deliver impactful automation and intelligence, including the design and orchestration of specialized autonomous agents.

What you’ll do (Role Expectations)

• Build and maintain large-scale distributed systems to support the full ML lifecycle, including data collection, feature engineering, and Agentic AI components like agent workflows and real-time serving
• Solve complex business problems such as threat detection by collaborating with data architects and product teams to build multi-agent solutions that automate analysis and decisioning
• Partner with cross-functional teams to assess requirements, manage scheduling, and lead the development and debugging of agent-based systems
• Support the rollout and monitoring plans for production-grade ML systems to ensure performance, observability, and scalability

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)

• 5+ years of experience as an AI-ML Engineer with technical proficiency in Java, Springboot, Python, and PyTorch or TensorFlow
• Proven experience writing high-performance queries for large-scale analytics platforms such as Azure Data Explorer (ADX/Kusto) or Google BigQuery, including partitioning-aware patterns
• Deep expertise in designing and deploying anomaly detection using tree-based models, statistical techniques, and streaming ML approaches
• Hands-on experience developing multi-agent orchestration, agent-to-agent communications, and autonomous decision-making workflows
• Strong technical background with distributed infrastructure and public cloud platforms like Azure, GCP, or AWS

What Will Make You Stand Out (Preferred Qualifications)

• A track record of shipping end-to-end applications at scale that process billions of events
• Willingness to work across the full spectrum of Big Data and AI-based solutions
• Hands-on experience with SOTA AI frameworks, prompt engineering, and complex agent architectures

#LI-Bangalore #LI-AN4

Role 

We are looking for a Staff Machine Learning Engineer to join our Exposure Management & Security Operations team. This role is a hybrid position based in Bangalore, reporting to the Sr. Manager, Engineering Strategy, Planning & Analytics. You will join the team that built the world’s largest cloud security platform from the ground up, helping to scale a multitenant architecture that serves over 15 million users globally. Your vision and passion will be critical as we continue to innovate and enable organizations to harness the speed and agility of a cloud-first strategy.

What you’ll do (Role Expectations)

• Designing and deploying scalable, reliable, and efficient production-grade Gen AI/ML systems from data ingestion to monitoring
• Driving innovation by researching and evaluating emerging AI/ML frameworks, rapidly prototyping novel solutions, and championing full-scale implementation
• Implementing and maintaining robust MLOps practices, including logging, monitoring, and CI/CD pipelines for distributed ML systems
• Leading and mentoring junior engineers in system design best practices and promoting technical excellence
• Collaborating with cross-functional teams to translate complex business needs into technical solutions

Who You Are (Success Profile)

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

What We’re Looking for (Minimum Qualifications)

• At least 5 years of experience as a Machine Learning Engineer with a track record of shipping complex, scalable ML systems to production
• Proven experience building Gen AI/ML systems with LLMs, fine-tuning, Retrieval-Augmented Generation (RAG), and Agentic AI in production environments
• Experience designing and implementing distributed ML systems with deep knowledge of MLOps, including monitoring and logging
• Strong computer science foundation in data structures, algorithms, and system design with expertise in Python and SQL
• Excellent communication and interpersonal skills to partner effectively across global engineering teams

What Will Make You Stand Out (Preferred Qualifications)

• Expertise with cloud services such as AWS, GCP, or Azure and ML platforms like Kubeflow or SageMaker
• Proficiency in systems programming languages like Go or Rust with an understanding of distributed systems and networking fundamentals
• A record of research, publications, or patents in AI/ML

#LI-Hybrid #LI-VV3

Role 

We are looking for a seasoned Staff Software Development Engineer to join our Engineering department. This is a hybrid role based in Bangalore, reporting to the Senior Manager, Software Engineering. You will join our Cloud Browser Isolation Product Team, contributing to the world’s largest cloud security platform. You'll bring your vision and passion to a team of experts who enable organizations worldwide to harness speed and agility through a cloud-first strategy.

What you’ll do (Role Expectations)

• Design, build, and maintain integrations with internal and external products to enhance Zscaler offerings beyond a single solution
• Implement scalable APIs and microservices in Go for seamless data exchange and real-time session handling
• Collaborate with architects and product owners to ensure cloud services align with company standards
• Develop solutions for traffic management, monitoring, and logging to ensure high reliability and efficient debugging
• Participate in on-call rotations to resolve production issues while continuously improving system reliability

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)

• 5+ years of professional software development experience, including 3+ years focused on developing backend cloud systems using Go (Golang)
• Proficiency in building APIs using HTTP, gRPC, or REST and managing secure endpoint communication
• Experience with containerized application development (Docker) and orchestration (Kubernetes)
• Proven track record of building backend systems with high performance and reliability expectations
• Solid understanding of networking concepts such as TCP, DNS, and SSL/TLS encryption

What Will Make You Stand Out (Preferred Qualifications)

• Familiarity or willingness to contribute to NodeJS backend development
• Exposure to DevOps automation workflows and CI/CD pipelines
• Hands-on experience with distributed messaging systems like Kafka, RabbitMQ, or similar services

#LI-Hybrid #LI-AN4

Role

We are looking for a Creative Design and Media Manager to join our Marketing Creative team. This is a Remote role, reporting to the Manager, Creative Production. This team is responsible for the expression of the Zscaler brand in every aspect of the human experience. The right candidate should have high-level conceptual skills with identity systems, developing conceptual ads, and experience working across various media and mediums. You have strong typographic and layout skills, strict attention to detail, and possess excellent analytical skills to find graphic solutions while ensuring guidelines and quality standards are met. Your work here will include a wide breadth of projects and materials—ranging across advertising, web, digital, data visualization, print, social, video, keynotes and events. 

What you’ll do (Role Expectations)

• Design and produce high-fidelity collateral and creatives across print, digital, web, multimedia—including ads, comps, concept executions, and presentations.
• Prep supplied artwork for production by creating export-ready delivery packages and troubleshooting/resolving artwork issues throughout production.
• Curate on-brand, high-quality stock photography and perform retouching/manipulation to ensure polished, effective creative assets.
• Build new and refine existing graphics using Adobe Creative Suite (Illustrator, Photoshop, InDesign) to meet required specifications.
• Collaborate with Creative/Art Directors, writers, designers, developers, and production teams; communicate and present design rationale to stakeholders; stay current on trends while aligning work to Zscaler’s brand system and business goals.

Who You Are (Success Profile)

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

What We’re Looking for (Minimum Qualifications)

• 7+ years in a creative agency/studio/in-house team, with a strong portfolio demonstrating concept development, typography, layout, and web/digital design fundamentals.
• Proven ability to create and maintain production files across print and digital, including layout/typesetting, photo selection/editing, print production, QA, and troubleshooting design/application issues.
• Advanced skills in Adobe Creative Suite plus solid working proficiency with MS Office/Google Slides.
• Experience building PowerPoint decks (slide layouts, typography, diagrams/iconography, animation) and strong knowledge of web/social media standards and constraints.
• Self-starter who thrives in fast-paced environments; persuasive in influencing design decisions; seeks/applies feedback; takes direction well; highly collaborative with stakeholders/technical teams; strong attention to detail, organization, and time management.

What Will Make You Stand Out (Preferred Qualifications)

• BFA, BS, or MFA in Graphic Design or equivalent field is preferred.
• Bonus Technical Skills- Figma, illustration experience, motion graphic and/or animation skills

#LI-Hybrid
#LI-VV3

Role

We’re looking for a Principal Software Development Engineer to join our team. Based out of our Bangalore office, you will report to the Senior Manager, Software Engineering within the Zero Trust Exchange department.

As a Principal Software Engineer you will build the backend systems that keep the product fast, reliable, and able to scale as usage grows. You will create microservices and event-driven workflows, and ensure data can be ingested and queried efficiently across relational, graph, and time-series databases. You will also drive cross-team execution by collaborating closely with multiple groups to deliver high-quality results on tight timelines.

What you’ll do (Role Expectations)

• Architect and deliver scalable microservices on EKS (GoLang): design, build, and operate production services that meet uptime, latency, and scale goals
• Build event-driven pipelines with Kafka and MQTT: implement asynchronous workflows that are resilient, observable, and easy to evolve as product needs change
• Design high-performance data models and access patterns: optimize ingest and querying across RDS MySQL, Neo4J, and ElasticSearch for correctness, speed, and cost efficiency
• Harden production readiness and operational excellence: establish monitoring, alerting, tracing, and on-call standards; drive root-cause fixes and reliability improvements
• Lead cross-team delivery and technical direction: align stakeholders, break down complex work, and execute quickly while maintaining a high bar for quality and security

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution.
• You are a pragmatic builder. You are obsessed with creating, iterating, and shipping. You aren't afraid to roll up your sleeves and build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.

What We’re Looking for (Minimum Qualifications)

• Senior-level backend engineering experience designing and shipping highly scalable microservices in production developed in Go
• Proven experience with event-driven, asynchronous architectures using messaging/streaming platforms such as Kafka
• Strong data engineering and persistence skills building efficient ingest and query patterns across relational databases (MySQL) plus at least one of ElasticSearch or Neo4J
• Hands-on experience running services on Kubernetes (ideally EKS), including deployment, troubleshooting, and operational ownership

What Will Make You Stand Out (Preferred Qualifications)

• Proven ability to profile and optimize distributed systems end-to-end (latency, throughput, resource usage), including performance tuning across services, databases, and messaging
• Strong track record designing debuggability/observability for distributed applications—structured logging, metrics, distributed tracing, and actionable dashboards/alerts for rapid incident triage
• Experience defining and operationalizing SLIs/SLOs (error budgets, alert policies, reliability reporting) and driving product decisions based on measured service health

#LI-Hybrid #LI-NT1

Manager, Salesforce Operations (L2/L3) – BIS

The Manager, Salesforce Operations is responsible for global run operations, production stability, and service delivery for the Salesforce platform across Sales Cloud, Service Cloud, CPQ, and related integrations and services. This role owns L2/L3 operational support, incident and problem management, change governance, and continuous improvement of the Salesforce ecosystem in a 24x7 global delivery model.

You will lead regional support teams, partner closely with business and technology stakeholders, and ensure Salesforce environments are secure, stable, compliant, and scalable to support Kaseya’s growth.

Key Responsibilities

Global Service Delivery & Operations

• Own end‑to‑end Salesforce production operations across global regions.
• Lead L2/L3 support for Salesforce Sales Cloud, Service Cloud and CPQ
• Ensure adherence to SLAs, incident response, and escalation protocols.
• Act as the primary point of accountability for Salesforce availability, stability, performance, and operational health.

Incident & Problem 

• Lead major incident management, including war‑room coordination and executive‑level communication.
• Drive RCA and preventative actions to reduce recurring production issues.
• Partner with Salesforce Support and third‑party vendors to resolve critical production issues efficiently.

Operational Excellence & Governance

• Standardize operational processes aligned to ITIL best practices.
• Define and manage runbooks, SOPs, monitoring, alerting, and on‑call models.
• Drive continuous improvement in MTTR, incident volume reduction, backlog aging, and operational efficiency.
• Ensure compliance with security, SOX, audit, and regulatory requirements.
• Embed security‑by‑design and least‑privilege principles across Salesforce operations.

Platform & Integration Oversight

• Oversee operational stability for:
  • Salesforce core clouds (Sales, Service,CPQ)
  • Custom Apex, Flows, and automations
• Ensure stable integrations between Salesforce and enterprise systems (e.g., NetSuite, MuleSoft, Snowflake, Data Cloud, marketing and billing platforms).
• Monitor and manage scheduled jobs, integrations, platform events, batch processes, and data synchronization pipelines.

Team Leadership & Vendor Management

• Lead, mentor, and develop a high‑performing Salesforce L2/L3 operations team.
• Manage vendor partners and managed service providers, including performance, quality, and cost accountability.
• Support workforce planning, skill development, and shift coverage strategies across global regions.
• Promote a culture of operational ownership, accountability, and continuous improvement.

Required Skills & Expertise

Salesforce Platform Expertise

• Strong expertise in enterprise‑scale Salesforce operations and support.
• Deep understanding of:
  • Salesforce security model, profiles, permission sets, and sharing
  • Production support, troubleshooting, and RCA
  • Change & release governance in regulated environments
• Experience with Apex, Flows, integrations (REST/SOAP), and middleware platforms.

Experience

• 7+ years of Salesforce platform experience in enterprise environments.
• 3+ years in a people or operations management role (L2/L3 support, engineering, or platform operations).
• 5+ years supporting Salesforce production environments.
• Proven experience working with Salesforce Support and third‑party vendors to resolve production issues.
• Experience producing operational metrics, executive dashboards, and incident reports.

Communications & Leadership

• Excellent written and verbal communication skills.
• Strong stakeholder management and executive presence.
• Ability to lead teams through high‑pressure production incidents.
• Proven mentoring and people‑development capabilities.

Education

• Bachelor’s degree or equivalent in Computer Science, Information Technology, Engineering, or a related field.

Preferred Certifications

• Salesforce Administrator, Advanced Administrator, Platform App Builder, or Architect certifications (preferred, not required).

When was the last occasion you had the opportunity to contribute to a company that is shaping an industry and empowering individuals to translate ideas into tangible impact with speed? Smartsheet's core mission is to empower everyone to enhance their work processes. Our business model is founded on identifying exceptional talent and providing them with the autonomy to develop our acclaimed Software as a Service (SaaS) offering. With a user base exceeding 10 million, our platform is utilized across various industries, including construction, retail, and software development, presenting us with unique technical challenges.

Smartsheet is seeking a Senior Business Systems Engineer to join our Corporate Systems Development team in Bangalore. This role focuses on building and maintaining scalable backend integrations using AWS services, powering mission-critical data flows across internal systems in Finance, People, Sales, Legal, and Engineering. You’ll develop solutions leveraging tools like AWS Lambda, SQS, SNS, and languages such as Node.js and Python, integrating systems such as Salesforce, NetSuite, Workday, Snowflake, and other enterprise platforms. If you thrive on backend architecture, cloud automation, and building systems that scale, this role is for you.

This role is based in Bangalore, India, reporting to the Senior Manager, Systems Development, and collaborating closely with global engineers, system analysts, and architects.

You Will:

• Design, build, and maintain backend integrations using AWS services such as Lambda, S3, SQS, SNS, and EventBridge
• Develop API-based automations and orchestrate data flows between Salesforce, NetSuite, Workday, Snowflake, and other SaaS platforms
• Refactor and enhance legacy integration logic to align with modern architecture standards
• Own your code from design through CI/CD (GitLab) and deployment via Terraform/CloudFormation
• Collaborate with US-based engineers on shared initiatives, sprint planning, code reviews, and technical handoffs
• Participate in a shared production support rotation, resolving critical integration and data pipeline issues
• Provide technical mentorship to junior engineers, especially on high-complexity initiatives
• Partner with architects and BSAs to review integration design and testing strategies for reliability and resilience
• Support both ETL-style batch pipelines and real-time event streaming using CDC and platform events
• Contribute to evolving team SOPs, architecture standards, and shared development libraries
• Lead backend development within complex cross-functional projects, including work breakdown and delivery tracking

You Have:

• BS in Computer Science, related field, or equivalent industry experience
• 7+ years of experience in backend software development or automation using Node.js, Python, VS code or similar
• Strong experience with AWS services, especially Lambda, S3, SQS/SNS, EventBridge, DynamoDB
• Expertise in database design, schema modeling, and query optimization (DynamoDB & Snowflake preferred)
• Strong grasp of integration design patterns, secure API development (REST/SOAP), and system interoperability
• Develop and maintain GitLab based CI/CD pipeline implementations for tests, linting, deployment, etc.
• Experience with managing infrastructure as code (Terraform, CloudFormation)
• Demonstrated experience building and maintaining integrations with Salesforce, NetSuite, Workday, Coupa, Stripe, Snowflake
• Familiarity with data validation, schema evolution, and cross-system reconciliation (preferred)
• Excellent collaboration and communication skills in a distributed, global team setting
• Confidence navigating production environments, owning critical issue resolution from end to end
• Experience delivering integrations and automation solutions across Finance, People, Sales, Legal, BI
• Proven ability to lead initiatives and proactively communicate with technical and non-technical stakeholders
• Comfortable working independently, while also mentoring and reviewing work for Level 1/2 developers
• The flexibility to adjust to changing priorities, new technologies, and evolving project requirements.
• Comfortable operating in an Agile environment, and familiar with Sprint ceremonies like Daily stand-up, Sprint planning,Sprint Finalization etc. 
• Familiar with prompt engineering / Generative AI for code generation is preferred

The Associate Service Delivery Manager (ASDM) delivers an end-to-end customer experience across both NOC and Helpdesk, combining service governance, relationship management, and proactive success planning to drive outcomes, reliability, and long-term partnership growth.

You serve as the primary operational contact for service health, escalations, adoption, retention, and customer success outcomes.

KEY RESPONSIBILITIES

1. Customer Success & Relationship Management

Own customer satisfaction, retention, and value realization.
Lead Monthly/Quarterly service reviews with MSP owners/CIOs and decision-makers.
Drive proactive communication, sentiment tracking, and expectation alignment.
Identify upsell/cross-sell opportunities with the Account Manager.
Own churn prevention and risk management; maintain RAG account health.

2. Unified Service Delivery Ownership (NOC + Helpdesk)

Own end-to-end delivery across Helpdesk and NOC, from request/alert through resolution and post-incident follow-up.
Maintain ticket/incident lifecycle health: response times, communication quality, escalation accuracy, and resolution effectiveness.
Ensure performance to SLAs/SLOs and key KPIs (e.g., FCR, TTR, SLA adherence) across both service lines.
Govern monitoring and operations (alert triage, patching, backup, AV/AM) and ensure Helpdesk queue hygiene and productivity.
Track trends via unified dashboards (ticket flow, incidents, alert volumes, patch/backup health); validate tooling/RMM performance and surface systemic risks.
Partner with Helpdesk leadership and NOC engineering on RCA, critical-incident communications, corrective actions, and continuous improvement.

3. Unified Operational Governance

Run unified operating cadences across Helpdesk + NOC.
Own escalation governance: tracking, RCA follow-through, and customer communications.
Maintain CRM/SFDC data accuracy and integrity.
Ensure compliance with contractual SLAs/SLOs and KPIs.
Lead cross-functional escalations with Engineering, Deployment, AM, Billing, Sales, and Support.

4. Onboarding & Adoption

Own onboarding for new unified (NOC + Helpdesk) customers.
Ensure a smooth handoff from Sales to Delivery.
Validate prerequisites (RMM access, credentials, documentation, and KB alignment).
Enable customers on how to engage Helpdesk/NOC effectively (channels, expectations, escalation paths).
Track onboarding milestones, adoption, and outcomes.

5. Reporting & Analytics

Deliver monthly performance reporting across both service lines.
Summarize service quality, incident trends, compliance, RCA themes, and usage analytics.
Present KPI dashboards and prioritized improvement opportunities.
Partner with data/BI resources to improve operational insights.

REQUIRED SKILLS & EXPERIENCE

Technical Skills

Monitoring/RMM: Datto RMM, VSA, VSA X
Ticketing/PSA: Autotask, Salesforce, PSAs
Working knowledge of patching, backup, AV/AM, servers/workstations, and networking
Incident lifecycle and major-incident management fundamentals
Basic OS/network/endpoint troubleshooting
Excel and Power BI reporting

Customer Success Skills

Executive stakeholder management (Owner/C-level)
Renewal and retention ownership
Clear executive communication
Data-driven storytelling
Contract and value alignment

Professional Skills

Analytical, structured problem-solving
Excellent written and verbal communication
High accountability and ownership
Manage multiple customers in parallel
Cross-functional collaboration

Experience

0–5 years in service delivery, customer success, or managed services
Hands-on exposure to both Helpdesk and NOC workflows
MSP/IT services background preferred
Experience managing high-value accounts

SUCCESS METRICS

Renewals/retention
Compliance KPIs and SLA/SLO adherence
CSAT/NPS targets
Kaseya production adoption opportunities
Service-review cadence compliance

About the role

The developer's job is shifting from writing code to directing AI agents, and hiring needs to catch up. HackerRank has shaped how 3000+ companies identify engineering talent, with 30M+ developers assessed on our platform. Chakra is our bet on what the next generation of that looks like: an AI interviewer built for a world where the interview itself has to be as intelligent as the candidates it is evaluating.

Open Problem
An interview that thinks, listens and gets it right every time.

Running an interview is easy. Running a good one is hard.

Chakra is an AI interviewer. It holds a conversation with a candidate, asks follow-up questions, evaluates how they think, and produces a report a hiring manager can actually act on. It is to conduct interviews that are more consistent, more probing, and more fair than most human interviewers manage in practice.

Here is the problem. A great human interviewer can do this. They read the candidate. They push on the right things. They know when an answer is shallow and when it just sounds shallow. Getting a model to do that reliably is genuinely difficult. Not because the technology cannot hold a conversation. It can. The gap is in judgment. Knowing what to probe. Knowing what the answer actually reveals about the candidate. Knowing when to move on.

Now do that 200,000 times. With candidates who speak differently, think differently, and approach problems differently. Without the model drifting. Without it being gamed. Without every report reading like it was written by the same template.

That is where the field currently falls short. Closing that gap is the work.

What you'll do

• Architect and develop Chakra end to end: the agent design, conversation management, real-time response evaluation, scoring methodology, and report generation.
• Build the systems that ensure interview consistency at scale. Not just model capability, but the infrastructure that makes the 200,000th interview as coherent as the first.
• Design evaluation and benchmarking pipelines that measure interview quality, candidate experience consistency, and report defensibility.
• Build fine-tuning and RLHF workflows to push model judgment past what off-the-shelf models deliver for this specific task.
• Own the quality bar. Define what a good interview looks like, instrument how well the system meets that bar, and close the gap systematically.
• Work across the full stack: data pipelines, model serving, latency constraints, and the product experience the candidate actually encounters.

Who you are

• You have built and shipped agentic or conversational AI systems in production, not just prototypes.
• You have a strong intuition for where LLM behavior breaks down under real-world conditions and how to address it systematically.
• You think in systems. The conversation architecture, the evaluation model, the serving infrastructure, and the candidate experience are one problem to you.
• You care about the quality bar at the level of a user who depends on the output, not just a researcher measuring aggregate metrics.

Even better if you have

• Experience building multi-turn conversational agents or interview-style AI systems.
• Worked with RLHF, Constitutional AI, or preference-based fine-tuning methods.
• Background in dialogue systems, conversational evaluation, or rubric-based scoring.
• Publications or contributions in agentic AI, LLM reliability, or evaluation of generative systems.

You will thrive in this role if

• You are energized by the full scope of a hard product problem, from model architecture through the conversation a candidate actually has. 
• You hold the product bar as high as the technical bar. You want to build something that works extraordinarily well for every single person who uses it.

Scopely is looking for a Game Design Director to join the GSN Casino team! The position can be based in Barcelona, Spain, Bangalore, India or Tel Aviv, Israel.

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

With a rich portfolio of free-to-play slots, video poker, video bingo, blackjack, and more, GSN Casino combines the classic casino atmosphere with innovative features and gameplay. Our games offer endless entertainment with daily bonuses, exciting quests, and massive jackpots.

What You’ll Do:

• As the Design Director, you will lead the creative vision and execution for GSN Casino, ensuring the game is engaging, innovative, and aligns with our strategic goals. Collaborating with a multidisciplinary team, you will oversee all aspects of game design, from concept to release and beyond.
• Collaborate with the General Manager, the Director of Product, and other senior leaders within the Casino Division to develop a strategy and roadmap for the games' development that aligns with the division’s business goals.
• Ensure the design team owns and drives a cohesive vision for the game’s look, feel, audio-visuals, and overall player experience.
• Research, document, and communicate competitive trends in casual games, the social casino industry, and real-money gaming.
• Develop a culture of continuous improvement and innovation, pushing the game studio to meet or exceed the experiences and production values of land-based casino games.
• Partner with the Analytics and Player Insights teams to A/B test features, game designs, and slot themes, optimizing for important metrics.
• Mentor and develop junior game designers, providing mentorship, feedback, and support to help them grow professionally.
• Develop and promote standards for both the player experience and the game design process.

About You:

• Possess 10+ years of experience in designing and/or producing successful mass-market casual games, preferably with experience in the social casino market.
• Have experience in leading game design teams, demonstrating outstanding self-motivation and innovation.
• Exhibit creativity with an outstanding approach to addressing persistent challenges, contributing to existing products, and turning challenges into opportunities.
• Demonstrate outstanding communication skills, effectively bridging the gap between the business and creative aspects of the division.
• Capable of multitasking and leading multiple projects simultaneously.
• Able to translate ideas into actionable projects.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!     

Digital Asset Manager

In the role of a Digital Asset Manager, you will be responsible for managing the delivery of digital and print assets to platforms and vendors and administering the uploads to the Digital Asset Management system for one of MediaMonks’ biggest clients. Our creative production teams across the globe produce content for every possible channel you can think of on a daily basis. All this content has to be properly structured, named, tagged and stored in our client’s DAM platform as well as uploaded to various platforms for trafficking following the respective guidelines and naming conventions. 

In addition to that, you are responsible for training new team members, offering first-line support on user questions, PM queries, and producing documentation and reporting for each delivery. 

Our DAM also has an asset library, used by our client and their agencies. You can assist our monks with questions they receive from these parties too. Part archivist/vault, part technology wizard, part instructor, and part enforcer, you will use your skills and knowledge to help the team work efficiently. This is high-volume, high-velocity work. Accuracy is critical and new material will be coming in from many teams. 

Our ideal candidate is a fast and flexible go-getter who jumps on tasks at hand but also looks ahead at what is coming in the (near) future) collaboration with our creative and operational team is key here.
You have a solution-oriented mindset, a sharp eye for detail, a knack for building and maintaining processes and relationships, and a natural aptitude for collaboration and tech.

In this role, you will:

• Your key objective is flawless, timely & complete syndication of assets to platforms and DAM using the right naming conventions and metadata. All efforts to ensure assets can be trafficked and found in a heartbeat.
• Follow asset delivery protocols for each project to the dot while navigating at times uncertain platform delivery requirements through collaboration with PMs and QA team. 
• Produce delivery reports according to the predefined protocols and attach those to the corresponding JIRA tasks. 
• Flag in advance any risks related to the timeliness or completeness of the delivery of the files. 
• Your role is key in making our collaboration with clients a success. If assets are not delivered to platforms on time - a campaign start is at risk and the content team effort to produce the assets on time is annulled.
• Proactively flag any discrepancies in the requirements or the process and propose solutions/updates to the established process. 
• Maintain and update delivery checklists to ensure consistent processes across all projects and Delivery Teams.
• Develop and maintain training materials for both the DAM and its integrated tools.
• Train new and existing monks where needed on our DAM, asset review and approval platform and asset library.
• Collaborate with your counterparts in other time zones.
• Answer first-line support questions on the use of the DAM and the asset library.

Experience you already have:

• 2-4 years of professional experience as a Digital Asset Manager and asset delivery in advertising and marketing.
• Experience using a Digital Asset Management (DAM) system. Preferably as administrator, or at least as librarian/curator.
• You’re experienced in working with creative, ops and account teams.
• You combine asset management with critical thinking and a hands-on approach; this enables you to ask the right questions and waterproof training materials and feature requests for future development.
• You have a strong understanding about the different types of assets used to make creative work (image, video, sound, font, animation, templates, etc.)
• An ability to adapt quickly and accommodate creative requirements without compromising compliance and integrity.
• Fluent in English, both written and verbal, with excellent communication skills.
• You are a consummate networker and relationship builder with the ability to navigate a global organization.
• Ability to work independently as well as collaboratively in a team environment.
• Ability to work under pressure of tight deadlines and changing priorities.

#LI-SC1

#Hybrid

About the Role:

Production Engineer
The Production Engineer at Rubrik plays a critical role in operational excellence, managing alerts, responding to outages, and leading incident resolution as an Incident Manager. This role requires hands-on experience in maintaining highly available critical services across multi-cloud environments while driving continuous improvements through automation and intelligent monitoring.

What you’ll do:

• Join a 24/7 Production Operations team responsible for managing and supporting critical infrastructure and services in multi-cloud environments.
• Oversee staging and production environments to ensure maximum uptime and reliability.
• Implement and maintain comprehensive observability solutions for real-time monitoring, alerting, and metrics collection.
• Lead incident management efforts by swiftly responding to alerts and outages, coordinating teams to drive timely resolution.
• Analyze recurring incidents to identify root causes, reduce toil, and improve system resilience.
• Design and develop automation tools to proactively detect, triage, and remediate production issues.
• Maintain and update runbooks to support incident response and recurring issues.
• Demonstrate strong decision-making skills under pressure, effectively managing critical situations with urgency and composure.

Experience you’ll need:

• Solid understanding of distributed system concepts.
• Practical experience working with production systems and environments, preferably within public cloud infrastructures.
• Familiarity with container orchestration platforms, especially Kubernetes.
• Hands-on experience with infrastructure  management tools like CloudFormation and Terraform.
• Strong analytical and problem-solving skills  for diagnosing and resolving system and application issues.
• Proficient in data structures and algorithms, UNIX, networking, operating systems, and database systems such as MySQL.
• Proficient with Python programming skills.
• Excellent verbal and written communication skills.

Location: Bangalore, India
Work Shift: Rotation (24/7 coverage expected) 

ABOUT RUBRIK

Join Us in Securing the World's Data

Rubrik (NYSE: RBRK) is on a mission to secure the world’s data. With Zero Trust Data Security™, we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. We help organizations uphold data integrity, deliver data availability that withstands adverse conditions, continuously monitor data risks and threats, and restore businesses with their data when infrastructure is attacked.

Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

About the role 

The Senior Integration, API & Automation Engineer is a hands-on technical lead role responsible for shaping and executing Rubrik’s enterprise API, integration, and AI‑driven automation strategy.

Broadly, the role will focus on designing, building, and governing secure, scalable APIs and integrations between our core business platforms and third‑party systems (e.g., ERP, HCM, CRM, data platforms), while mentoring engineers and driving best practices across the organization. In addition, this role will help us embed AI capabilities (LLMs, Claude, decisioning services, intelligent workflows) into APIs and business processes to improve reliability, productivity, and insight.

You will work closely with senior business stakeholders, application owners, security, data, and IT teams to define API‑first, AI‑aware integration patterns and standards that deliver robust, secure, real‑time and batch integrations using REST APIs, webhooks, messaging, file‑based interfaces, and AI services.

This role will primarily leverage MuleSoft Anypoint Platform (or similar iPaaS) for API‑led connectivity and sits within the Enterprise Integrations & Intelligent Automations team as a key technical authority.

What you'll do

• Own the API and integration architecture and strategy for assigned domains, defining API‑led patterns (Experience, Process, and System APIs), reference architectures, and standards for how systems integrate across the enterprise.
• Design, build, and evolve RESTful APIs that expose well‑designed resources and operations to internal and external consumers, with clear contracts, documentation, and SLAs.
• Lead implementation of integrations between SaaS and on‑prem applications (e.g., NetSuite, Workday, Salesforce, Snowflake, ServiceNow), Finance, HR, Security, and GTM platforms, ensuring solutions are scalable, secure, resilient, and observable.
• Create data integration strategies for high volumes of data in transit, optimizing for performance, reliability, and cost (e.g., streaming vs. batch, push vs. pull APIs, caching, backoff strategies).
• Define and enforce API governance, including:
• Provide technical leadership to integration and API engineers, including solutioning, design reviews, code reviews, and mentoring of junior and contract engineers.
• Implement and manage REST/SOAP APIs, webhooks, and messaging interfaces from conceptual design through development, performance testing, deployment, and lifecycle management via an API gateway or iPaaS (e.g., MuleSoft Anypoint Platform).
• Architect robust data integrations for both real‑time and scheduled (batch) workloads using APIs, messaging, sFTP, and file‑based exchanges (JSON, XML, CSV), with well‑defined contracts, SLAs, and monitoring.
• Define non‑functional requirements (NFRs) and SLAs for APIs and integrations—availability, latency, throughput, error budgets, RTO/RPO—and ensure designs and implementations meet or exceed them.
• Drive observability and reliability for APIs and integrations by standardizing logging, tracing, metrics, dashboards, and alerting, and by creating operational runbooks for incident response and post‑incident reviews.

AI & Intelligent Automation Responsibilities

• Identify and prioritize AI opportunities within API and integration flows (e.g., data enrichment, anomaly detection, routing, summarization, classification, intent extraction).
• Define safe and governed AI usage within APIs and integrations, including:
• Clear input/output contracts for AI services
• Guardrails (prompt design, validation, constraints)
• Handling of sensitive data (PII/financial/HR data) in prompts and responses
• Monitoring for model performance and drift in production.
• Integrate with AI platforms and services (internal or external), including model APIs, vector stores, and feature stores, using strong API design and security practices.

Stakeholder, Security, and Platform Responsibilities

• Partner with security, compliance, and audit teams to ensure integrations, APIs, and AI services meet security, privacy, and regulatory requirements (e.g., SOX‑sensitive data flows, access control, encryption, audit trails).
• Lead technical discovery and solution design for new API, integration, and AI‑automation initiatives, working with product managers, application owners, and business stakeholders to shape requirements and translate them into well‑defined technical designs.
• Own vendor and platform technical relationships for integration technologies and key SaaS systems; understand vendor APIs and change roadmaps, anticipate the impact of deprecations, and coordinate upgrades and migrations.
• Oversee CI/CD practices for APIs, integrations, and AI services, including branching and release strategies, automated testing (unit, integration, regression), and environment configuration management for Dev/QA/UAT/Prod.
• Champion reuse and standardization by building and curating shared assets such as:
• Generic APIs (e.g., email, JIRA, logging, AI utility services)
• Common connectors and API client libraries
• Templates and integration catalogs
  and ensuring they are adopted broadly.
• Participate in and improve KTLO/on‑call rotations for critical APIs, integrations, and AI services, using incident data to drive structural improvements, technical debt reduction, and increased reliability.
• Communicate clearly with technical and non‑technical audiences, producing architecture diagrams, decision records, and documentation that make complex API, integration, and AI solutions easy to understand, operate, and evolve.

Experience you'll need

• Education & Experience

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
  • 10+ years of overall software/integration engineering experience, with 8+ years focused on API and enterprise integrations.
  • 4+ years in a senior/lead/architect capacity, owning API and integration designs, patterns, and technical decisions for complex cross‑system and enterprise application solutions.
  • Experience designing and delivering AI‑enabled features or workflows as part of production systems (e.g., integrating with LLM or ML APIs, AI‑based decisioning, or intelligent automation).

Technical Skills – API Engineering

• Deep expertise in RESTful API design and implementation, including:
• Resource modeling, URI design, and standard HTTP methods
• API‑first/contract‑first design (RAML/OpenAPI)
• Pagination, filtering, sorting, and partial responses
• Versioning strategies (URL, header, content negotiation)
• Idempotency and robust error handling patterns.
• Strong experience building secure, resilient, and scalable APIs, including:
• API gateways (e.g., MuleSoft, Apigee, Kong, AWS API Gateway)
• Rate limiting, throttling, caching, and circuit‑breaker patterns
• Timeout, retry, and backoff strategies.
• Solid understanding of webhooks and event‑driven APIs, including subscription management, signature validation, replay protection, and idempotent consumers.
• Hands-on experience with API client development and integration patterns (SDKs, service‑to‑service communication, backend‑for‑frontend, composite APIs).

Technical Skills – Integration & Platforms

• Strong experience with MuleSoft Anypoint Platform (or equivalent iPaaS), including API Manager, Runtime Manager/CloudHub, Anypoint Exchange, and design/deployment best practices.
• Solid understanding of SOAP services, messaging patterns (pub/sub, event‑driven integrations), and when to apply each.
• Proficiency with integration data formats and transformation (JSON, XML, CSV, mapping, enrichment, aggregation, canonical models).
• Strong database and data modeling skills, including SQL and working with relational databases (e.g., Postgres, SQL Server, Oracle) in integration scenarios.
• Experience designing and implementing secure integrations, including:
• OAuth 2.0/OpenID Connect
• API keys and mutual TLS
• Role/permission models and fine‑grained authorization
• Secrets management (e.g., HashiCorp Vault, cloud KMS).
• Hands‑on experience with CI/CD pipelines and Git‑based workflows, including automated testing, static analysis, deployment automation, and environment configuration for API and integration services.
• Demonstrated experience integrating with several of the following: NetSuite, Workday, Salesforce, Snowflake, ServiceNow, Coupa, DocuSign, ChromeRiver, Marketo, identity/IAM platforms, external APIs, and internal APIs.
• Practical experience working with AI/ML or LLM APIs (e.g., OpenAI, Azure OpenAI, Vertex AI, Bedrock, or internal model APIs), including:
• Designing API requests and responses for AI‑backed features
• Prompt engineering and response validation
• Handling rate limits, retries, timeouts, and partial failures within integration flows.
• Familiarity with event‑driven and streaming architectures (e.g., Kafka, EventBridge, Event Hubs) and how to combine them with AI services for near real‑time decisioning and automation.

Soft Skills

• Proven ability to lead without direct authority, influencing cross‑functional teams and driving technical decisions through clarity and data rather than hierarchy.
• Strong architectural thinking and problem‑solving skills, including the ability to decompose complex business processes into robust API, integration, and AI‑enabled designs.
• Excellent communication and documentation skills, comfortable presenting solutions and trade‑offs to engineers, managers, and senior business stakeholders.
• Experience working in agile environments, collaborating closely with product owners, scrum teams, and distributed stakeholders across time zones.
• Bias toward automation, standardization, and continuous improvement, with a pragmatic approach to balancing speed, risk, and long‑term maintainability.

Preferred Qualifications

• Professional MuleSoft certifications (e.g., MuleSoft Certified Integration Architect, MuleSoft Certified Developer) or equivalent certifications from other integration platforms.
• Experience designing and operating public or partner-facing APIs with clear productization (API lifecycle, developer experience, SLAs, and commercial considerations).
• Experience designing and operating integrations in regulated or security‑sensitive environments (e.g., SOX, FedRAMP, customer‑facing APIs) with a strong emphasis on auditability and change control.
• Experience with event‑driven and streaming platforms (e.g., Kafka, AWS EventBridge, Azure Event Hubs) and their role in modern API and integration architectures.
• Exposure to automation/workflow platforms (e.g., Zapier, Workato, low‑code tools) and how they complement enterprise integration layers and AI‑based automation.
• Experience building and maintaining API and integration runbooks, catalogs, and governance processes, and contributing to enterprise architecture forums or design reviews.
• Experience with observability stacks (e.g., Datadog, Splunk, New Relic, OpenTelemetry) for monitoring APIs, integrations, and AI services in production.
• Familiarity with data and AI governance concepts (e.g., data classification, lineage, model governance, responsible AI practices) and how they apply within API, integration, and automation patterns.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Key Responsibilities: 

• Design, develop, and optimize enterprise ETL/ELT pipelines utilizing Azure Data Factory, Azure Data Lake Storage, and advanced serverless technologies—ensuring cross-platform scalability, security, and reliability. 

• Architect and implement highly efficient, complex SQL solutions—including advanced query optimization, partitioning, and indexing—to power sophisticated analytics models and enable real-time data processing. 

• Lead the development and integration of robust automation frameworks using Python, and API orchestration, introducing innovative solutions to streamline the entire data lifecycle and maximize operational efficiency. 

• Exercise full ownership of production pipeline reliability; proactively identify and resolve critical issues through deep root-cause analysis, and institute resilient, long-term stability measures for continuous uptime. 

• Establish, refine, and enforce rigorous coding and architectural standards through comprehensive code reviews and technical audits, setting quality benchmarks for the offshore engineering team. 

• Serve as a liaison with onshore leadership, driving strategic backlog prioritization, release management, and complex cross-regional project coordination to align with organizational objectives. 

• Champion best-in-class documentation, data lineage, and automated CI/CD deployment practices, ensuring transparency, auditability, and governance across all data assets. 

• Assist with enterprise capacity planning, resource optimization, and architectural design of innovative data solutions tailored to evolving business requirements. 

• Demonstrate expert-level support for analytics and media teams, translating business challenges into scalable, high-performance technical solutions, leveraging deep Azure and SQL expertise. 

Senior-Level Expectations: 

• Act as the organization’s subject matter expert (SME) in end-to-end pipeline architecture, orchestration frameworks, schema evolution, and advanced Azure Data Factory strategies. 

• Mentor and develop junior and mid-level engineers through structured coaching, technical workshops, and ongoing knowledge transfer, cultivating a high-performance engineering culture. 

• Lead modernization initiatives across the organization, championing the adoption of technologies such as Databricks, DBT and advanced DevOps practices to future-proof the data platform and enable rapid innovation. 

• Ensure strict adherence to SLAs and regulatory compliance through advanced monitoring, proactive risk mitigation, and continuous improvement of operational processes. 

Required Skills 

• 5-6years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP). 
• Provenexpertisein designing, optimizing, and managing large-scale, production-grade data pipelines, including deep skills in SQL performance tuning, ADF orchestration, and CI/CD automation. 
• Advanced knowledge of production operations, troubleshooting, and high-availability data processing at scale.

Good to Have 

• Adverity
• Dataflow
• Big Query
• Databricks
• DBT
• Terraform
• Wrike/Jira/Azure DevOps
• DP‑203 / GCP Data Engineer certifications

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

#LI-GOC

About AQR Capital Management  

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most,and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies with more than 125 Bn$ of asset under management.AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors.

Technology is central to AQR’s success. As a Team Lead Software Engineer in Portfolio Implementation, you will combine deep hands-on technical contribution with responsibility for leading engineers, owning critical systems, and delivering on firmwide objectives. Reporting to an MD-level manager, you will set technical direction, drive execution, and ensure the team consistently delivers high-quality, reliable systems that support AQR’s investment process.

Your Role:

As a Team Lead Software Engineer in Portfolio Implementation, you will have end-to-end responsibility for both technical outcomes and team execution, including:

•Owning critical portfolio implementation systems and services, with accountability for reliability, performance, and long-term evolution
•Leading architectural design for high-performance, high-volume, highly available systems, making informed trade-offs across performance, flexibility, and maintainability
•Remaining hands-on in design and implementation, contributing meaningful production code and setting technical standards by example
•Leading and coordinating teams of engineers, potentially organized into multiple sub-teams, with responsibility for delivery across a group of engineers, including planning, prioritization, and execution across multiple workstreams
•Driving delivery of large, cross-team initiatives aligned with firmwide objectives and timelines
•Leading requirements gathering and specification, translating business and investment needs into clear technical plans
•Breaking down complex initiatives into well-scoped workstreams, with realistic sequencing and dependencies
•Driving estimation and delivery planning, balancing scope, risk, and available resources
•Ensuring alignment between resource forecasting and delivery commitments, adjusting plans as priorities evolve
•Ensuring strong engineering practices across the team, including code quality, design reviews, testing standards, and operational readiness
•Coaching and mentoring junior and mid-level engineers, ensuring they understand and apply best practices in software development
•Partnering closely with portfolio managers, researchers, and platform teams to align technical solutions with investment needs
•Reporting progress, risks, and delivery status clearly and proactively to MD-level leadership
•Identifying and addressing process gaps, technical debt, and operational risks across owned system

What You’ll Bring:

•Degree in Computer Science or a related technical field
•10+ years of professional software engineering experience, with deep expertise in Java
•Strong experience using Python in production or research-adjacent environments
•Proven track record of owning and operating complex, distributed systems in production
•Experience with microservice-based architectures using technologies such as Java, Elasticsearch, Redis, RabbitMQ / AMQ, and relational databases (e.g., PostgreSQL, MS SQL Server)
•Demonstrated ability to lead teams while remaining technically hands-on
•Strong understanding of engineering best practices, including code quality, testing strategies, CI/CD, design documentation, and operational excellence
•Experience operating, tuning, and profiling high-performance systems
•Experience with observability and monitoring platforms (e.g., New Relic) and using metrics to drive reliability and performance
•Strong experience in requirements capture, technical specification, and work breakdown for complex systems
•Proven ability to estimate effort, plan delivery, and manage trade-offs across scope, timeline, and resources
•Solid understanding of how resource planning, capacity, and delivery execution interrelate in a multi-team environment
•Interest in financial markets and the investment process; hands-on domain knowledge in this area is a strong plus but not required

Who You Are:

•A hands-on technical leader who takes ownership of systems, processes, and outcomes
•Comfortable driving delivery through others, setting clear direction and holding teams accountable
•Able to operate effectively with MD-level stakeholders, providing clear status, risks, and trade-offs
•Skilled at balancing short-term delivery with long-term system health
•Committed to developing engineers through mentoring, feedback, and example
•Collaborative, pragmatic, and decisive in complex environments
•Committed to intellectual integrity, transparency, and openness    

THE ROLE

Join our core infrastructure team to design, implement, and maintain the mission-critical foundational systems that power our global operations, with a focus on Cisco UCS and VMware technologies. You will be instrumental in scaling our high-performance converged infrastructure, ensuring reliability, security, and peak operational efficiency. This role requires deep technical expertise and collaboration with cross-functional IT groups to deliver complex, impactful projects that directly support our organizational growth.

WHAT YOU'LL DO

• Elevate Infrastructure Stability: Design, deploy, and manage our Cisco UCS infrastructure (blade/rack servers, Fabric Interconnects, Intersight/UCS Manager) and the localized VMware vSphere environment (vCenter, ESXi) to ensure highly available, performant systems across the organization.

• Drive Automation and Efficiency: Develop and maintain robust automation tools using languages like PowerCLI and Python to streamline complex provisioning, monitoring, and management tasks, significantly reducing manual effort and improving deployment speed.

• Optimize System Performance: Troubleshoot, diagnose, and resolve complex production issues within the converged infrastructure environment, including participation in the on-call rotation, to maintain system integrity and minimize downtime.

• Influence Architectural Decisions: Partner with networking, storage (including Everpure, iSCSI, and Fibre Channel), and security teams to seamlessly integrate new technologies and establish comprehensive documentation and security best practices for all implemented systems.

WHAT YOU BRING

4+ years of experience in Automation and Scripting and from Converged Infrastructure background.

Expertise in Converged Infrastructure: Proven, deep technical skill in managing, configuring, and troubleshooting Cisco UCS architecture and all components of a VMware vSphere environment (vCenter, ESXi, vMotion).

Automation and Scripting Proficiency: The ability to write and implement practical automation scripts (e.g., in PowerCLI or Python) to solve operational challenges and improve infrastructure workflow efficiency.

Systems Troubleshooting Acumen: Advanced, practical skills in diagnosing and resolving intricate, time-sensitive issues within virtualized and converged production environments, often under pressure.

Architectural and Security Mindset: A strong understanding of core networking (VLANs, routing) and storage concepts, coupled with the ability to implement and enforce essential security best practices within the virtualized system.

Accountability and Ownership: A history of successfully managing key infrastructure areas autonomously, delivering high-quality results, and effectively collaborating with technical partners.

We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

About the Opportunity

User Store is the foundational intelligence platform of InMobi Group. The Senior PM in this role will define its long-term strategy, shape how user signals are transformed into AI-ready intelligence, and directly influence how InMobi empowers its partners globally.

At its core, this role is about turning scale into intelligence. InMobi processes billions of real-time signals daily — affinity, context, cross-platform behaviour, and more — and the Senior PM for User Store will own the strategy for converting that raw signal into structured, ML-ready user intelligence that is actionable for advertisers at every stage of the funnel. The PM in this role will have end-to-end ownership of a platform that has direct, measurable impact on group revenue.

The Charter

The Senior PM will define and own the strategy for building a unified, enriched, integrated user intelligence layer that drives the roadmap for how raw user signals are structured, enriched, and made consumable by ML & AI systems and advertiser products at scale. This also includes owning the product vision for how internal teams and external advertisers access and act on that intelligence, working closely with ML and engineering to ensure the platform is aligned with real advertiser needs. Central to this role is a single-minded focus on KPI delivery — measuring success through the quality and revenue impact of audiences and intelligence features generated from the user intelligence layer.

The Senior PM needs to understand how to generate and use high-quality user embeddings and latent space representations that are directly consumable by ML models and downstream advertisers. He/ she will work closely with data science and engineering to ensure the enrichment pipeline is production-grade, privacy-compliant, and built for scale.

What You Will Own

• The multi-year product strategy for the Central User Intelligence Spine across InMobi Group.
• The data enrichment and embedding generation roadmap — from raw signals to ML-consumable intelligence.
• Adoption of User Store across internal InMobi products and external advertiser and publisher integrations.
• Strategic data partnerships and sourcing relationships that expand the signal universe.
• Client-facing presence — representing User Store capabilities in advertiser and DSP conversations independently.
• The AI-native user studio product — vision, roadmap, and go-to-market with internal and external stakeholders.

What We Are Looking For

We are looking for a rare profile: someone with the PM craft to drive strategy and adoption, the data intuition of a seasoned practitioner, and the AI fluency to have a genuine opinion on how embeddings are built and consumed — not just talk about them.

Non-Negotiables

• AI-native mindset — Deep familiarity with how AI and ML systems are actually built. You understand how embeddings are generated, what they represent, and how downstream systems consume them. This role will not be a good fit without this foundation.
• End-to-end ownership — You drive things to completion. You are rigorous, deeply accountable, and do not let initiatives stall between strategy and execution.
• Impact-first prioritisation — You have a strong instinct for what moves the needle and the discipline to say no to everything else.
• Engineer or data scientist at heart — You think in systems and are comfortable going deep in technical discussions. A formal background in engineering or data science is not mandatory but is a strong bonus.
• [Bonus Points] Data platform experience — You have built or owned intelligence stores, data pipelines, or recommendation systems at scale. You think in terms of exposing intelligence, not raw data.

Strong Differentiators

• Experience encoding user behaviour into structured, learnable representations for ML systems — embeddings, vector spaces, affinity graphs, or adaptive learning systems.
• Background in CDP (Customer Data Platforms), user store systems, or large-scale data infrastructure products.
• Familiarity with privacy-preserving architectures: clean rooms, differential privacy, or data governance in regulated environments.
• Experience with recommendation systems — understanding what users like and dislike and translating that into product decisions.
• Comfortable with hands-on data deep-dives: able to look at data cuts quickly, visualise hypotheses, and challenge assumptions in technical discussions.
• Prior experience in ad tech, DSP, or publisher ecosystems is a plus, though not a requirement — strong candidates from adjacent industries such as recommendation systems, data platforms, or consumer tech are encouraged to apply.

Core PM Fundamentals

• 5+ years of product management experience with a track record of shipping complex, cross-functional products.
• Ability to translate ambiguous, long-horizon strategy into a clear roadmap with measurable milestones.
• Strong cross-functional leadership — able to align data science, engineering, and commercial teams without direct authority.
• Executive-level communication: able to represent User Store in leadership reviews and client meetings independently.

Why This Role

• One of the most strategically significant product charters within InMobi Group — the intelligence layer that powers the broader platform.
• Direct, measurable impact on group revenue across the advertiser funnel.
• End-to-end ownership from data strategy to ML interfaces to advertiser-facing products — one of the broadest scope PM roles in the organisation.
• High visibility with InMobi Group leadership and external partners.
• An opportunity to work on problems that sit at the frontier of applied AI in mobile advertising.

Why you should join us?

At our core, we believe in the power of data to drive smarter decisions and transform operations. As an Operational Data Scientist, you'll be at the forefront of this mission—leading initiatives that streamline business processes, accelerate time to insight, and align analytics with strategic goals.

You'll work in an environment that values rigor in experimental design, seamless model integration, and impactful operational analytics. We’re not just looking for technical talent—we want a strategic thinker and a collaborative leader who thrives at the intersection of data, business, and execution.

If you're passionate about solving complex problems, influencing high-stakes decisions, and driving measurable outcomes, this is the opportunity to make your mark. Join us and be part of a team that turns data into action—and action into impact.

What will you be doing?

1. Experiment Design and Interpretation:

• Lead and design complex experiments, addressing challenges with statistical rigor.
• Interpret results and provide actionable insights to drive business decisions.

2. Data Engineering Workflow and Design:

• Partner with stakeholders to ensure data systems and structures are efficient and reliable.
• Reduce turnaround time (TAT) for analytics, feature exploration, and experimentation setup

3. Data Science Model Integration:

• Collaborate with data science teams to integrate models into workflows.
• Define success metrics, identify inefficiencies, and leverage model outputs to enhance operations.

4. Proactive and Reactive Analysis:

• Conduct exploratory data analysis, simulations, and hypothesis testing.
• Provide strategic support and actionable insights to address business challenges.

5. Health Metrics Design and Implementation:

• Define, implement, and monitor key performance metrics to assess platform performance and user behavior.

6. Leadership and Collaboration:

• Serve as a liaison between cross-functional teams, advocating for data-driven decisions.
• Mentor analysts and promote a culture of analytics within the organization.

7. Product Impact Tracking:

• Design and implement analyses to monitor product impact.
• Ensure alignment of analytics initiatives with broader business objectives.

What are we looking for?

Skills and Attributes:

• 8–15 years of total professional experience, preferably in Tech, Consulting, or high-scale Analytics organizations.
• 4+ years of people management experience, leading data science, analytics, or operational analytics teams in system-heavy environments.
• Advanced proficiency in SQL and Python — able to drive deep analyses, RCA investigations, and metric instrumentation independently.
• Hands-on experience with Spark or distributed data processing frameworks for scalable analysis.
• Proven ability to design and deploy control systems or feedback loops in collaboration with engineering teams to tune complex algorithms in production.
• Successfully implemented and maintained Data Science models in production, including monitoring and post-deployment tuning.
• Solid foundation in statistical methods, hypothesis testing, and experimental design, especially as applied to system performance and anomaly detection.
• Comfort working with observability and visualization tools — Tableau, Looker, Power BI, or internal metric dashboards like Grafana or Superset.
• Strong record of cross-functional collaboration with engineering, product, SRE, and ML teams to drive system health and platform improvements.
• Demonstrated ability to work through ambiguity, structure diagnostic approaches, and drive data-informed operational decisions.
• Strong strategic and systems thinking mindset — able to reason about interdependent metrics and optimize for system-wide health.

About the Role:

Production Engineer
The Production Engineer at Rubrik plays a critical role in operational excellence, managing alerts, responding to outages, and leading incident resolution as an Incident Manager. This role requires hands-on experience in maintaining highly available critical services across multi-cloud environments while driving continuous improvements through automation and intelligent monitoring.

What you’ll do:

• Join a 24/7 Production Operations team responsible for managing and supporting critical infrastructure and services in multi-cloud environments.
• Oversee staging and production environments to ensure maximum uptime and reliability.
• Implement and maintain comprehensive observability solutions for real-time monitoring, alerting, and metrics collection.
• Lead incident management efforts by swiftly responding to alerts and outages, coordinating teams to drive timely resolution.
• Analyze recurring incidents to identify root causes, reduce toil, and improve system resilience.
• Design and develop automation tools to proactively detect, triage, and remediate production issues.
• Maintain and update runbooks to support incident response and recurring issues.
• Demonstrate strong decision-making skills under pressure, effectively managing critical situations with urgency and composure.

Experience you’ll need:

• Solid understanding of distributed system concepts.
• Practical experience working with production systems and environments, preferably within public cloud infrastructures.
• Familiarity with container orchestration platforms, especially Kubernetes.
• Hands-on experience with infrastructure  management tools like CloudFormation and Terraform.
• Strong analytical and problem-solving skills  for diagnosing and resolving system and application issues.
• Proficient in data structures and algorithms, UNIX, networking, operating systems, and database systems such as MySQL.
• Proficient with Python programming skills.
• Excellent verbal and written communication skills.

Location: Bangalore, India
Work Shift: Rotation (24/7 coverage expected) 

ABOUT RUBRIK

Join Us in Securing the World's Data

Rubrik (NYSE: RBRK) is on a mission to secure the world’s data. With Zero Trust Data Security™, we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. We help organizations uphold data integrity, deliver data availability that withstands adverse conditions, continuously monitor data risks and threats, and restore businesses with their data when infrastructure is attacked.

Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

ABOUT THE TEAM

The Production Engineering team at Rubrik is responsible for ensuring the availability and reliability of mission-critical platforms operating across large-scale, multi-cloud environments. We act as the backbone of operational excellence—owning incident response, outage, observability, and continuous improvement.

The team works in close collaboration with SRE and Engineering teams to proactively identify risks, reduce operational toil, drive outages and build resilient systems. We operate in complex, high-pressure scenarios, applying sound technical judgment while continuously improving through learning, ownership, and accountability.

ABOUT THE ROLE

As a Senior Engineering Manager for Production Engineering, you will lead and grow a high-impact team responsible for maintaining highly available, business-critical services. You will spearhead the technical roadmap, strategy and execution, while serving as a senior escalation point during major incidents.

You will set the vision for the team, while coaching engineers to operate with confidence in high-pressure environments. This role requires strong technical depth, strong decision-making skills, and the ability to collaborate across teams to continuously improve system reliability and operational maturity.

What you’ll do

• Lead Production Engineering team supporting critical infrastructure and services across multi-cloud environments. This role requires you to work in EST timezone (4:00 PM – 1:00 AM IST).
• Own operational excellence for production environments by establishing strong processes, standards, and accountability for availability and reliability.
• Champion a metrics-driven culture of continuous improvement, driving initiatives to improve operational KPIs such as MTTA/MTTR.
• Foster a strong collaborative mindset working closely with leadership to align operational priorities with business goals and reliability targets.
• Develop team members through coaching, mentoring, and career development, while enabling senior contributors to operate at maximum impact.
• Plan and manage on-call rotations, escalation models, and resource availability to ensure sustainable support for mission-critical systems.
• Establish strong execution rigor through sprint planning, prioritization, and accountability, holding teams to high standards of delivery and performance.

Experience you’ll need

• A passionate leader who is obsessed with building technically strong teams and has 12+ years of Software Development experience and 3+ years in Engineering Management roles.
• Experience hiring, building top talent teams.
• Experience in delivering enterprise-quality scalable Distributed Systems with high quality standards.
• Preferred: Experience leading SRE teams to drive operational excellence across large-scale, multi-cloud production environments through strong processes, metrics, and reliability-focused practices.
• Experience building and cultivating strong engineering practices and processes.
• Experience working with cross-geo global engineering teams.
• Have a track record of effectively communicating with stakeholders at all levels.
• Degree in Computer Science or equivalent field.

Who we are.

Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.

Let's talk about the cool stuff you do at Axi!

We are seeking a skilled DevOps Engineer to design, deliver, and support optimized, secure cloud solutions across development and production environments. This role works across multiple product delivery teams, promoting DevOps best practices and ensuring a consistent, high-quality approach to software delivery and infrastructure management.

You will play a key role in driving automation, improving deployment processes, and embedding operational excellence into all technology solutions.

Your EDGE assignment/You will:

• Act as a core member of the DevOps function, contributing to a center of excellence in DevOps methodologies
• Design, implement, and maintain secure, scalable cloud-based solutions
• Promote and enable automation and self-service capabilities across development teams
• Ensure compliance with well-architected frameworks and embed non-functional requirements (security, performance, scalability) by design
• Collaborate with engineering teams to integrate operational requirements into design, build, and deployment phases
• Provide Level 2/3 support, identifying root causes and implementing permanent fixes to prevent recurring incidents
• Implement, configure, and maintain cloud infrastructure and associated technology platforms
• Develop and enhance CI/CD pipelines to enable efficient, reliable deployments (including one-click deployments, rollbacks, and parameterized builds)
• Monitor system performance and proactively identify areas for improvement
• Troubleshoot and resolve complex technical issues across environments
• Work closely with software developers to ensure adherence to best practices, standards, and processes

Are you the one?

Technical Skills

• Strong experience with cloud platforms (e.g., AWS, Azure, or GCP)
• Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI, Azure DevOps)
• Proficiency in infrastructure as code (e.g., Terraform, CloudFormation, ARM templates)
• Experience with containerization and orchestration (e.g., Docker, Kubernetes)
• Solid understanding of system monitoring, logging, and alerting tools
• Experience with scripting languages (e.g., Python, Bash, PowerShell)
• Knowledge of networking, security principles, and cloud architecture best practices

DevOps & Engineering Practices

• Strong understanding of DevOps principles and Agile methodologies
• Experience implementing automation and self-service solutions
• Familiarity with well-architected frameworks and non-functional requirements
• Experience supporting production systems and handling incident management

Soft Skills

• Strong problem-solving and analytical skills
• Excellent collaboration and communication abilities
• Ability to work across multiple teams and manage competing priorities
• Proactive mindset with a focus on continuous improvement

Desirable Skills

• Experience with microservices architecture
• Knowledge of security and compliance standards
• Experience working in large-scale or enterprise environments
• Exposure to Site Reliability Engineering (SRE) practices

Axi's bag of delights

• Competitive and attractive compensation.
• Extensive learning opportunities, such as professional training and certifications and soft skills development.
• 18 annual leave days per year.
• 12 sick days leave per year.
• Public holidays as declared by local government.
• Maternity leave as per law.
• Health Insurance. 

Axi's interview journey

• Talent Acquisition Interview   (45 minutes)
• Hiring Manager Interview (60 minutes)
• Final Interview (60 minutes)

Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment of any fees related to the recruitment of the candidate represented in the unsolicited resume.

At Axi, we prioritize creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.

The Community You Will Join:

Payments is key for any healthy marketplace, and is just as central to our product at Airbnb. The Payments organization at Airbnb is responsible for everything related to settling money in Airbnb’s global marketplace and makes the Payment experience as delightful, magical, intuitive, and easy as possible. At the Payments team, our goal is to build and operate scalable systems that power payments ecosystems, host/guest protections as well as community partner  experiences applying core engineering principles that leverage both time-tested and cutting edge technology.

The Difference You Will Make:

As a Senior Staff Engineering for Payments, you will provide overarching guardrails on evolution of the architecture with special focus on Community Partner experiences, catering evolving business needs and coaching other engineers on the team. You will envision and design decision support systems, knowledge management systems as well as workflow orchestration systems that can harness various AI advancements. You will define and drive the architecture strategy, work on cross-functional teams to align on organizational initiatives, set standards and help in governance. You will be a player-coach; in that you will be hands-on when a situation arises (player mode) and hands-off where there is opportunity for other engineers to grow and gain experience (coach mode).

A Typical Day:

As a Senior Staff Software Engineer, Payments you will: 

• Collaborate with other senior leaders to define and drive long-term technical strategy and architecture that enables the company’s future vision.
• Establish a technical vision and lead efforts to architect, build, and launch reliable, performant, and scalable solutions.
• Be a critic for existing and new technologies, providing a balanced view of the technology landscape and nurture a culture of sustainable innovation.
• Collaborate with and influence cross-functional partners to design and deliver high-quality products.
• Lead multi-team technical initiatives, and work cross-functionally to identify opportunities for business impact, refine, and prioritize requirements for engineering systems.
• Lead conversations that align technical efforts with business outcomes and product priorities.
• Uplevel engineering quality through design/code reviews, mentorship, and hands-on implementation.
• Mentor and provide technical guidance to junior engineers  through design reviews, code walkthroughs, and knowledge-sharing sessions, fostering a culture of knowledge sharing and continuous learning .

Your Expertise :

• 15+ years of experience in a hands-on software engineering role.
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience.
• Experience building, leading, and architecting production systems or features with broad impact.
• Demonstrated technical leadership: hands on experience leading project teams, setting technical direction and strategy, prototyping to iterate ideas, and working cross functionally with Product, Design and Operations teams.
• Strong communication and collaboration skills with both technical and non-technical partners, experience driving initiatives that span across teams, departments and leadership. 
• Passion to level-up those around you through curiosity and fostering a collaborative and inclusive team environment.
• Proven experience in defining product/technical strategy and driving alignment with cross-functional leaders and stakeholders.

Your Location:

This position is India - Remote (Eligible anywhere within India). The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

Scopely is looking for a Senior Product Manager, Roadmap to join the Looney Tunes team in Bangalore on a hybrid basis!

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

The Looney Tunes: World of Mayhem team embraces the "One Team, One Dream" culture every day. Everybody is empowered to work with a high level of autonomy and ownership to deliver the best possible player experience.

What You Will Do

This role is responsible for owning an important product domain and improving player experience and commercial performance. Key Responsibilities include:

• Define and drive quarterly and annual feature roadmap strategy aligned with business goals
• Lead end-to-end product feature development, from opportunity identification through launch and post-launch optimization, with accountability for player engagement, retention, and monetization KPIs
• Translate high-level opportunities and player insights into clear, strategically aligned feature concepts and execution plans
• Create clear, structured, and outcome-driven product specifications that align design, engineering, and production teams
• Drive feature iteration through structured analysis, experimentation, and player feedback loops
• Partner cross-functionally with Game Design, UX/UI, Engineering, Production, and Analytics to deliver high-impact features that elevate player experience and business outcomes
• Identify and prioritize optimization opportunities across the player lifecycle, including acquisition, engagement, retention, and monetization
• Define measurable success criteria upfront, lead structured experimentation, and independently execute data analysis - including writing SQL queries, conducting exploratory deep-dives, and evaluating A/B test results to validate impact and guide iteration
• Stay informed on market trends, competitor benchmarks, and F2P design innovation to support continued product excellence
• Work with autonomy in a dynamic environment, making thoughtful product decisions in ambiguous situations
• Leverage AI to enhance product decision-making, personalization, segmentation, and feature efficiency, identifying opportunities where AI can unlock meaningful player and business value

What We’re Looking For

• 5+ years of relevant product management experience, with demonstrated experience managing important product areas in F2P mobile games or consumer digital products
• Experience delivering measurable improvements across engagement, retention, and monetization KPIs
• Strong commercial acumen with deep understanding of F2P economies, player lifecycle management, segmentation, LTV, and payer dynamics
• Strong data fluency with hands-on SQL proficiency, able to independently design queries, conduct exploratory analysis, and validate hypotheses, while collaborating effectively with Analytics teams
• Strong modeling skills in Excel / Google Sheets, with experience building forecasts, impact estimates, and structured decision frameworks
• Experience leading complex, cross-functional initiatives with multiple stakeholders and competing priorities.
• Ability to operate effectively at both strategic and tactical levels, shaping long-term direction while diving deep into execution details
• Curiosity about player behavior and F2P mechanics, with the ability to navigate complex player ecosystems across lifecycle stages and spend segments
• Strong written and verbal communication skills, with the ability to articulate the “why” behind decisions and influence cross-functional stakeholders
• Structured thinker with strong prioritization skills, clear impact estimation, and sound tradeoff judgment
• Action-oriented, with a focus on experimentation, learning, and measurable results
• Demonstrates initiative, ownership, and accountability in driving results

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

About the Role

We're building out the Customer Success Engineering team at Postman, and we need business-minded engineers who can solve real problems at scale. You will partner closely with Customer Success Managers and own the “How” of technical solutioning. This is a consultative role that requires both depth and versatility. This is no support role; you'll be the technical architect of Customer Success, turning complex and nuanced challenges into repeatable solutions that benefit our entire enterprise customer base.

As a CSE, you consult on the technical implementation path. When a customer needs to get from point A to point B, you figure out how to make it happen - whether that means architecting workflows within Postman, guiding integrations, or creating pragmatic workarounds when the product doesn't quite fit. A key part of this role is turning individual solutions into reusable assets that shorten time to value for future customers. We don’t believe in reinventing the wheel each time.

Success in this role requires a blend of technical expertise, systems thinking, and the ability to translate complex business objectives into actionable implementation steps.

What You’ll Do

• Value Acceleration at Scale: You'll unblock customers facing everything from basic setup issues to complex architectural challenges. However, your role isn’t just to fix individual problems – your goal is to identify patterns and build solutions that prevent those problems from happening again. When you solve for one customer, you're solving for hundreds.
• Technical Discovery and Solutioning: Partner with CSMs to understand the business objectives, then translate those into technical reality. This means deep technical discovery, understanding their entire stack, and designing implementation paths that actually work in production. No theoretical solutions – everything needs to be battle-tested and deployable.
• Collateral and Enablement: Build reusable assets such as technical guides, templates, scripts, or reference implementations that scale best practices across customers.
• Product Feedback Loop: Capture customer challenges, propose interim solutions, and document gaps to inform product roadmap discussions.
• Adaptive Problem Solving: When out of the box functionality is insufficient, design pragmatic solutions (workarounds, custom scripts, integrations, etc.) to help unblock and activate customers.

About You

You need 6-8+ years in a technical customer-facing role and a portfolio of “built things”.

Customer Success Engineering, Solutions Engineering, Forward Deployed Engineering, Technical Account Manager… the title doesn't matter as much as the hands-on technical work that solves real problems for customers.

You should have:

• Strong foundation in Computer Science or Engineering (degree or equivalent real-world experience)
• Experience with JavaScript and related technologies such as Node.js or TypeScript, or equivalent experience with other modern scripting languages
• Deep understanding of APIs, developer workflows, and modern DevOps practices
• Proven ability to scope ambiguous problems and deliver working solutions quickly
• Experience building technical collateral that scales - scripts, templates, automation tools
• Comfort engaging both individual developers and enterprise architects
• You should be comfortable in Postman and familiar with the broader developer toolchain – GitHub, AWS, Azure, and other pipelines. Most importantly, you need to understand how enterprises actually build and ship software, not just how they say they do in planning meetings.

About JazzX AI Builder Studio 

JazzX AI Builder Studio is an enterprise AGI builder platform designed to empower builders to rapidly build, validate, and deploy production-grade AGI solutions with confidence. 

Builder Studio provides a unified, modular environment where teams compose reusable components, leverage domain-aware reasoning, and apply rigorous evaluation and governance workflows. With built-in capabilities for evaluation, explainability, and domain intelligence, Builder Studio enables enterprises to scale AI adoption across complex, high-stakes domains with reduced risk and significantly higher productivity, with an AI-native approach for Builders optimizing for speed, accuracy, flexibility and reusability. 

Role Overview 

Builder Studio owns a large, high-impact execution surface within Builder Studio, partnering closely with the stakeholders to bring the overall product vision to life. 

This role focuses on how the platform works in practice for builders and solution teams - ensuring that reusable components, evaluation systems, and domain intelligence come together into coherent, scalable workflows. 

Rather than defining the entire platform narrative, this PM is responsible for turning strategy into durable systems that compound value across solutions, customers, and domains. 

What You’ll Own 

Platform Systems & Execution Ownership 

• Own one or more major platform capability areas (e.g. reuse & solutioning workflows, AI quality systems, domain intelligence enablement), with scope evolving over time. 

• Translate platform strategy into clear product requirements, milestones, and delivery plans. 

• Ensure platform primitives are composable, extensible, and production-ready. 

• Partner with engineering to manage tradeoffs around flexibility, correctness, and backward compatibility. 

Reuse, Leverage & Solutioning Workflows 

• Enable builders to assemble solutions using reusable components instead of starting from scratch. 

• Define workflows for packaging, discovering, adapting, and versioning of reusable assets. 

• Reduce friction in customizing templates for customer- and domain-specific needs. 

• Help turn repeated solution patterns into first-class platform capabilities. 

AI Quality, Evaluation & Debugging 

• Help productize AI evaluation as part of normal builder workflows. 

• Define quality signals, regression detection, and drift monitoring surfaces to builders. 

• Enable debugging workflows that rely on evaluation signals, comparisons, and diffs—not just logs. 

• Ensure quality systems support enterprise trust, auditability, and governance needs. 

Domain Intelligence Enablement 

• Support workflows for configuring and evolving domain logic, reasoning systems, and knowledge assets. 

• Ensure domain intelligence integrates cleanly with solutioning, evaluation, and deployment systems. 

• Help solution engineers and domain experts collaborate without excessive custom engineering. 

• Promote reuse of domain intelligence across workflows and customers. 

Builder Experience & Adoption 

• Advocate for builder productivity and clarity across platform workflows. 

• Ensure smooth progression from sandbox experimentation to production deployment. 

• Continuously identify and remove friction in day-to-day solution building. 

• Validate product decisions through close collaboration with forward deployment and solution teams. 

Cross-Functional Collaboration 

• Partner closely with the Platform Lead to align execution with the overall product strategy. 

• Work day-to-day with engineering, design, AI research, and forward deployment teams. 

• Bring structured thinking and clarity to complex, ambiguous problem spaces. 

• Help drive prioritization and sequencing across competing platform investments. 

What We’re Looking For 

• 8 to 10 years of product management experience, ideally on platforms, developer tooling, or enterprise systems. 

• Strong execution mindset with the ability to own complex systems end-to-end. 

• Comfort working with AI-powered systems (agents, workflows, evaluation, or reasoning), without requiring deep research specialization. 

• Ability to reason for tradeoffs between flexibility, reuse, quality, and governance. 

• Proven ability to partner with senior PMs and engineering leaders. 

• Clear communicator who can turn ambiguity into structured plans. 

Job Title: Manager, Software Engineer

Locations: Bangalore

Reports to: VP, AI Engineering

 A quick snapshot…

Conga is looking to hire a Manager, Software Engineering to join our extremely talented AI Engineering team. As an Engineering Manager at Conga, you’ll lead a team of software engineers working on our next generation AI Solutions. This team will be responsible for building statistical and machine learning models that support product features across the company. You’ll get to work directly with other Engineering Managers, Architects, Data Scientists, Product Managers, and Directors, all of whom make up the larger team. In this highly collaborative environment, you will have the opportunity to grow as a leader and help mentor others.

This position requires experience leading software engineering initiatives, knowledge of AI/ML solutions, as well as excellent people and time management skills. This role will be reporting to the VP of AI Engineering and will be a key engineering leader inside the Conga AI Pillar. The role requires you to collaborate with other leaders at Conga and guide your team to deliver high quality software solutions in a timely manner. The ideal candidate for this position is passionate about people, process, technology, and delivering customer values.

Conga works in an agile environment where there are daily stand-ups, code reviews, and constant communication within each self-managed cross-functional team. The ability to communicate effectively with other Engineering and Product leaders, as well as work closely with other your team members are key components for success in this position.

Why it’s a big deal…  

8+ or more years of experience in the Software Engineering industry with a record of increasing responsibility leading software development initiatives, and 3+ years managing teams.

Deep understanding of the Software Development Lifecycle (SDLC) and Machine Learning Lifecycle (MLL).

Lead and drive the strategy, vision and roadmap for building robust, scalable AI/ML foundations and platforms — including but not limited to:

•  Feature stores
• Distributed ML model training
• Model versioning and evaluation
• Monitoring, drift detection, and automated retraining pipelines
• Responsible AI, model explainability, and fairness assessments

Experience with productionizing ML models and integrating them into real-time and batch applications. Work closely with data science partners and domain engineering teams to understand AI/ML use cases and build corresponding foundations for personalization, NLP, forecasting, recommendations, and generative AI.

Experience using a popular programming language such as: Python (preferred), Java, C#, Scala, etc.

Solid understanding of modern software development practices including object-oriented programming, concurrency, design patterns, microservices architecture, RESTful API design, and test-driven development.

Experience with software testing concepts and tools: white/black box testing, coverage analysis, mocking, PyTest/xUnit, Selenium, etc.

Hands-on experience with GCP technologies such as BigQuery, GKE, GCS, DataFlow, Kubeflow, and Vertex AI — or equivalent services in AWS and/or Azure.

Familiarity with ML frameworks and tools such as TensorFlow, PyTorch, MLflow, scikit-learn, HuggingFace Transformers, etc.

Strong experience with Infrastructure-as-Code and CI/CD tools used to automate deployment to cloud platforms: Terraform, GitHub Actions, Concourse, Ansible, etc.

Excellent leadership, decision-making, and communication skills, with the ability to translate business needs into engineering outcomes.

Experience with AI product lifecycle management, including experimentation tracking, model governance, and release management.

Experience with Python is ideal; Java/Spring is a strong plus.

Education: Bachelor’s degree in computer science, Engineering, or a related technical field; Master’s degree preferred 

Are you the person we’re looking for?  

Provide engineering leadership and mentorship to a team of software engineers.

Be a strong engineering leader responsible for executing the Conga AI roadmap using agile practice.

Experience implementing scalable data and AI/ML solutions in a product-driven technology environment.

Manage, lead, and motivate cross-functional, interdisciplinary teams of software engineers to achieve strategic and tactical business outcomes.

Mentor and grow engineers in your team, fostering a culture of teamwork, accountability, and continuous improvement.

Demonstrated ability to skillfully hire, coach, and performance manage a team of technology professionals.

Partner with others at Conga to ensure engineering tasks are understood, broken down, and implemented to the highest of quality standards.

Collaborate with members of the team to solve challenging engineering tasks on time and with high quality.

Encourage skill growth of your team members.

Assist and adhere to enforcement of project deadlines and schedules.

Actively communicate with team members to clarify requirements and overcome obstacles to meet the team goals.

Highly technical, confident at the operational management level and comfortable in an engineering-heavy organization.

Track record of being a strong leader, with the ability to influence across teams and levels.

Work with development teams in an agile context as it relates to software development.

Here’s what will give you an edge…

Provide architectural guidance and technical oversight for AI/ML systems, ensuring solutions are scalable, secure, and production ready.

Drive engineering excellence by championing robust design, peer reviews, and efficient CI/CD practices tailored for AI systems.

Foster strong cross-functional partnerships with Product, Data Science, ML-Ops, and DevOps teams to accelerate delivery and innovation.

Travel Requirement

Limited travel to other company offices upon request

#LI-UB1

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

As Stripe’s user base and global footprint grows dramatically, we have distinctly unique support problems resulting from both our type of scale and the type of businesses we partner with. The Stripe Delivery Center (SDC) strategy will provide operational leverage and expand Stripe’s portfolio of operational capabilities to support the scaled needs for external users and internal Stripe teams. We strive to deliver frictionless experiences for all of our users, whether they are an Independent Business, Startup, SMB, or Enterprise and our mission is to provide all Stripe Users with the best support experience possible.

What you’ll do

You will recruit, manage, and develop a group of Marketing Operations Associates and team leads that are focused on delivering repeatable, measurable programs/campaigns targeted on spend optimization, producing highly qualified leads, improving the customer experience, and increasing retention. You will be leading the team who supports Stripe’s Marketing Operations and should not be afraid to jump in and perform production duties, especially in times of need. You will cultivate the happiness of your team members while guiding them to be the best they can be, through feedback, coaching, mentoring, and advocacy within the organization. This means helping to set team goals, and using metrics to efficiently measure and guide team performance in pursuit of those goals. You will have a strong operations mindset, be able to move quickly, and be passionate about delivering an incredible User experience.

Responsibilities

• Recruit, lead, develop, and coach a high-performing team of Marketing Operations Associates and Campaign Producers.
• Partner with global counterparts in EMEA/AMER, necessitating flexible scheduling for cross-regional alignment on email marketing success, best practices, process, workflows, policies, execution and enablement.
• Project manage marketing campaign production across the globe, including managing handoffs.
• Support Marketo workflows, performance marketing operations and event analysis.
• Ensure reportability of core operations cycles.
• Optimize Marketing Operations processes.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years relevant work experience in Marketing Operations
• 5+ of experience in leading teams 
• 6+ years of hands-on experience in Marketo (or similar) with a deep understanding of campaign architecture
• Experience leading, mentoring, managing, and developing a team of Marketing Operations Campaign Producers responsible for delivering high-quality work
• Experience building strong cross-functional partnerships with Marketing and internal technical support teams
• Experience leading end-to-end execution of projects/programs that have significantly improved operations and delivered quantifiable business impact
• Strong written and verbal communication skills with a precise talent for articulating challenges and generating insights and translating it into actionable recommendations
• Solid analytical skills and a strong understanding of technical concepts

Preferred qualifications

• A startup mentality with a bias to action and the ability to flex in a fast-paced environment
• Experience and desire for contributing to developing business infrastructure and aggressively scaling a high growth business.
• Experience at highly dynamic, high-growth tech companies
• Great service mentality and track record of building positive relationships with peers
• The ability to thrive on a high level of autonomy, responsibility and ambiguity
• Creative problem solving skills and results driven
• Critical eye for detail and analytical mindset

Job Title: Staff Software Engineer, AI

Locations: Bangalore

Reports to: Sr. Manager, AI/ML.

A quick snapshot…

As a Staff Software Engineer, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions.

Why it’s a big deal…

This is one of the critical roles in the project, where you will be an expert in product development, a good team player, and will lead and mentor your team members. We believe in using the best tools for the task at hand so the ability and desire to learn new programming languages and technologies is necessary. All of this adds up to an exciting, challenging, and always interesting place to work, where complex problems are found and solved every day. This role determines the root cause for the most complex software issues and develops practical, efficient, and permanent technical solutions.

Are you the person we’re looking for?

Experience: 8+ years of professional software development experience, including significant experience with AI/ML or GenAI applications. Demonstrated expertise in building scalable, production-grade software solutions.

Advanced Software Development: Design, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability. Drive best practices in code quality, documentation, and test coverage.

GenAI Product Development: Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization. Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance.

Technical Leadership: Take ownership of architecture and technical decisions for AI/ML projects. Mentor junior engineers, review code for adherence to best practices, and ensure the team follows a high standard of technical excellence.

Project Ownership: Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers. Proactively identify and mitigate risks to ensure successful, on-time project completion.

Architectural Design: Contribute to the architectural design and planning of new features, ensuring solutions are scalable, reliable, and maintainable. Engage in technical reviews with peers and stakeholders, promoting a product suite mindset.

Code Review & Best Practices: Conduct rigorous code reviews to ensure adherence to industry best practices in coding standards, maintainability, and performance optimization. Provide feedback that supports team growth and technical improvement.

Testing & Quality Assurance: Design and implement robust test suites to ensure code quality and system reliability. Advocate for test automation and the use of CI/CD pipelines to streamline testing processes and maintain service health.

Service Health & Reliability: Monitor and maintain the health of deployed services, utilizing telemetry and performance indicators to proactively address potential issues. Perform root cause analysis for incidents and drive preventive measures for improved system reliability.

Educational : Bachelor’s degree in computer science, Engineering, or a related technical field; Master’s degree preferred.

Here’s what will give you an edge…

Technical Expertise: Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks. Deep knowledge of software design patterns, object-oriented programming, and concurrency.

Cloud & DevOps Proficiency: Extensive experience with cloud technologies (e.g., GCP, AWS, Azure), containerization (e.g., Docker, Kubernetes), and CI/CD practices. Strong understanding of version control systems (e.g., GitHub) and work tracking tools (e.g., JIRA).

AI/GenAI Knowledge: Familiarity with GenAI frameworks (e.g., LangChain, LangGraph), MLOps, and AI lifecycle management. Experience with model deployment and monitoring in cloud environments.

Preferred Skill sets/Tools:

AI & Machine Learning: Hands-on experience with advanced ML algorithms, including generative models, NLP, and transformers. Knowledge of industry-standard AI frameworks (e.g., TensorFlow, PyTorch) and experience with data preprocessing and model evaluation.

Data & Analytics Tools: Proficiency with relational and NoSQL databases (e.g., MongoDB, MSSQL, PostgreSQL) and analytics platforms (e.g., BigQuery, Snowflake, Tableau). Experience with messaging systems (e.g., Kafka) is a plus.

Testing & Quality: Experience with test automation tools (e.g., PyTest, xUnit) and CI/CD tooling such as Terraform and GitHub Actions. Strong emphasis on building resilient and testable software.

Advanced Cloud Knowledge: Proficiency with GCP technologies such as VertexAI, BigQuery, GKE, GCS, and DataFlow, with a focus on deploying AI models at scale.

#LI-UB1

About the role

Entrupy is seeking a Senior Full-Stack Engineer who is excited about automating manual processes and can lead complex projects. As a Full-Stack Engineer, you will be responsible for automating the processes and workflows that can have a significant business impact by increasing the authentication team's efficiency and accuracy. You will need to have a strong understanding of both back-end and front-end development, as well as a willingness to learn new technologies quickly. In addition, we are looking for someone who can work effectively in a team that is spread across different time zones.

Some areas you will work on would include:

• • Creating image search systems - infrastructure for similarity searching tens of millions of images + metadata.
  • Creating tools to encode + expose knowledge for our authentication team (databases/CRMs)
  • Monitoring systems & other analytics work to help flag areas where our knowledge is lacking for our expert teams
  • Internal dashboards and customer support tools
  • Policy tracking and change management systems
  • Custom search systems and data investigation tools
  • Interfaces to explain machine learning and expert system output
  • Account management systems
  • Data annotation tools
  • Internal training platforms

Reports to: Engineering Manager
Location: Bangalore, India (Hybrid)

What You'll Do:

• Develop systems that follow modern design principles and are implemented using secure, flexible & scalable methodologies, promote a streamlined, collaborative environment & use efficient workflows while keeping focus on a positive user experience
• You’ll contribute reliable code across all phases of the development lifecycle, collaborating on product specifications and operational feasibility
• You’ll come up with ideas for projects to clean up technical debt and make it easier to develop in our codebases
• You’ll champion a balance between following good coding practices and delivering value for our customers quickly
• You’ll produce well-tested, extensible code that stands up to existing and future load requirements
• You’ll share your expertise in a thoughtful, no-ego way with all members of the team, coaching team members when needed
• Sheppard your contributions through peer review, testing, deployment, and finally monitoring in production

Who you are:

• Generalist with experience in web apps, backend services, and databases.
• 6+ years of experience in full-stack web development.
• Solid working knowledge of Python, and experience using it in backend services using Flask/Django/Fast API or similar web framework. 
• Experience with building front-end websites or tools using modern SPA frameworks like Vue/React.
• Experience with databases (Postgres, NoSQL, etc.)
• Experience working as the lead on various technical projects.
• Prior experience working in a startup-like environment

What we offer

• Market competitive compensation structure
• Hybrid with Flexible work from anywhere for 4 weeks per year
• Generous time away including company holidays, paid time off, sick time, parental leave, and more!
• Rich medical benefits and insurance coverage
• Opportunity to be part of category defining start up.

Culturally we operate with intelligence, respect, and curiosity, relentlessly pursuing ideas to improve our offering and execute our mission.

This role is offered as a hybrid in Bangalore, India, with the expectation to come to the office 2 days per week. We are only able to accept applications from those based in India and who have sponsorship to live and work in India. #LI-Hybrid

What you'll do at Jamf:

At Jamf, we empower people to be their best selves and do their best work. 

We are seeking a highly skilled Cloud Engineer II, Oracle EPM  to design, develop, and support Oracle Enterprise Performance Management (EPM) solutions in a fast-paced Software-as-a-Service (SaaS) organization. This role is hands-on, responsible for the full lifecycle of EPM applications — Financial Consolidation & Close (FCCS), Account Reconciliation (ARCS), Tax Reporting (TRCS), Planning (EPBCS) and Enterprise Data Management (EDMCS) — with a strong focus on automation, integrations, and production stability.

The ideal candidate combines deep technical expertise with solid finance process knowledge and thrives in a collaborative, high-growth environment.

What you can expect to do in this role:

• Build and maintain EPM artifacts: metadata, hierarchies, data forms, rules, calculation scripts, dashboards, and workflows.
• Recommend optimizations for performance, automation, and operational excellence.
• Design, create, improve and maintain Oracle EPM cloud applications including EPBCS modules, EDMCS, FCCS, ARCS, and TRCS while applying the necessary best practices and logic
• Automate processes using Groovy scripts, EPM Automate, REST APIs, and Python/SQL for metadata and data loads.
• Configure security and workflow models for auditability and compliance.
• Monitor and maintain EPM environments, ensuring high availability and adherence to SLAs.
• Diagnose and resolve application, data, and integration issues in collaboration with finance and IT teams.
• Manage upgrades, patches, and regression testing to maintain platform stability.
• Partner with Finance, Tax, Accounting, and Data Engineering teams to translate requirements into robust technical solutions.
• Advise business stakeholders on best practices for process automation, data governance, and solution adoption.
• Coordinate with Oracle support and vendors to troubleshoot and implement enhancements

What we are looking for:

Required skills and experience:

• Minimum 3 years of hands-on system development as a developer role in any two Oracle EPM cloud products, including EPBCS Modules, FCCS, ARCS, EDMCS, and TRCS.
• Proven expertise in scripting and automation (Groovy, REST APIs, EPM Automate, SQL, Python).

Preferred skills and experience:

• Experience supporting business-critical SaaS platforms with 24x7 production responsibilities 
• Strong knowledge of financial close, reconciliations, tax provisioning, planning/budgeting, and metadata management 
• Skilled in performance tuning, upgrading, testing, server maintenance, back-up planning, security administration and migration
• Experience with data integration technologies (ODI, FDMEE, Informatica, or similar).
• Experience working in a global organization, supporting multiple regions
• Disciplined process orientation, attention to details, troubleshooting skills, and root cause analysis expertise
• Ability to think critically and strategically and to collaborate effectively with staff at all levels
• Adaptable to shifting priorities in a dynamic SaaS business.
• Ability to proactively solve problems and work independently.
• Skilled at effectively resolving conflict.

How we help you reach your best potential:

• Named a 2023 Best Workplaces for Women™ by Great Place to Work and Fortune Magazine
• Named a 2024 Best Companies to Work For by U.S. News
• You will have the opportunity to make a real and meaningful impact for more than 70,000 global customers with the best Apple device management solution in the world.
• We constantly push the boundaries of technology, our developers support new innovations and OS releases the moment they are made available by Apple.
• Several Jamf engineers are named in patents and with team names like CatDog, ThunderSnow and Dalek you can expect to have some fun while building cutting-edge software.
• You will have the opportunity to work with a small and empowered team where the culture is based on trust, ownership, and respect.
• We offer a clear career path that enables you to grow under supportive leadership and management
• Visit our Jamf Engineering blog to learn more about the innovative projects our team is working on and what we learn from each challenge we solve. A blog written by engineers, for engineers at https://engineering.jamf.com/ 

About the role

HackerRank's Content Studio is building a production function that moves at the speed of ideas. As our Video Editor, you'll own the full post-production process across formats and platforms, from LinkedIn clips and YouTube explainers to event highlights and executive content. This is not a support role. You'll be a creative decision-maker who ships finished work, uses AI tools to compress timelines, and raises the bar on what in-house video can look and feel like.

What you’ll do

• Edit across formats, including short-form social, long-form YouTube, event recaps, and product content, adapting pacing and energy for each platform without a separate brief
• Work directly from raw footage, rough briefs, or messy transcripts and make confident creative calls without needing hand-holding
• Use AI-powered tools (Runway, Descript, Kapwing, Remotion, or equivalents) to reduce turnaround time while maintaining quality
• Operate in our Bangalore studio with real gear: hi fidelity cameras, VP screen, and broadcast-grade audio 
• Turn around same-day cuts, respond to async feedback, and move through iterative review cycles without losing momentum
• Build and maintain a library of reusable templates, motion elements, and brand-consistent MOGRT assets that reduce repeat effort
• Manage and brief external editors when volume demands it, maintaining quality and consistency across everything that ships
• Collaborate closely with the Studio Production Manager, Product teams and cross-functional stakeholders to align on goals before the first frame is cut

Who you are

• You think in stories first and timelines second. The edit is a creative act, not a technical one, for you
• You're fluent in at least one major NLE (Premiere, DaVinci, CapCut) and know your way around the AI tools that are reshaping post-production and have done this for 2+ years without getting bored. 
• You understand what makes content work on LinkedIn, YouTube, and short-form platforms, and you make format-specific decisions instinctively
• You work well in tight feedback loops. Iterative cuts, last-minute changes, and async reviewer comments don't break your rhythm
• You take ownership. If something isn't landing, you flag it and propose a fix rather than waiting to be redirected
• You communicate clearly with non-editors. You can explain a creative choice without jargon and take direction without losing your point of view
• You're organized under pressure. Multiple projects, overlapping deadlines, shifting priorities: you have a system and you use it

Even better if you have

• Light motion graphics or basic animation skills that reduce dependency on external studios
• Experience shooting or editing executive or thought leadership content, where the story lives in the subtlety
• Familiarity with Remotion, Claude Code, or other programmatic video tools that push beyond traditional editing workflows

You will thrive in this role if

• You'd rather ship a good cut today than wait for a perfect brief tomorrow
• You see AI tools as a creative accelerator, not a shortcut or a threat
• You find energy in a fast-moving, small team where your output is visible and your decisions actually matter

About the Role

Abnormal Security is looking for an experienced and driven Platform & Infra software engineer to join the PI team. Join us and help build the platforms that power Abnormal's growth

• Observability Platform - Own and evolve the monitoring, metrics, and alerting infrastructure that every engineering team at Abnormal depends on. You'll work across the Prometheus, Chronosphere, and Grafana stack to ensure engineers can see what their systems are doing in real time — building dashboards, managing metric pipelines at scale, operating the PagerDuty alerting pipeline, and driving cost-efficient observability across all production environments (US, EU, and GovCloud).

  Your Impact

• Own the observability stack (Prometheus, Chronosphere, Grafana, PagerDuty) that every team relies on to detect, diagnose, and resolve production issues — when you make it better, every engineer at Abnormal gets faster.
• Design platforms and developer tooling that remove friction — reducing deployment times, simplifying pipeline authoring, and letting product teams focus on building rather than firefighting.
• Drive SLAs and SLOs for critical shared infrastructure ensuring the systems behind our products are resilient and cost-efficient.
•  Your architectural decisions on alerting pipelines and cross-environment deployments will define what products we can build and how quickly we deliver them to customers.

What you will do 

• Work with the Tech Lead, Engineering Manager, and Product Manager to design, develop, and deliver key platform features — from technical design docs through production rollout
• Own features end-to-end: scoping, implementation, testing, deployment, and post-launch monitoring across multiple environments (US, EU, GovCloud)
• Take ownership of 1-3 key services within Observability (Prometheus, Chronosphere, Grafana, PagerDuty pipeline) or Data Infra (Airflow, Spark) and be accountable for their reliability, performance, and evolution
• Participate in on-call rotations — triage, diagnose, and resolve production issues independently, building deep operational knowledge of the systems you own
• Improve system resilience by converting runbooks into automated solutions, refining SLAs/SLOs, and proactively identifying performance bottlenecks and failure modes
• Assume ownership of the reliability of everything you build, including comprehensive unit tests, integration testing, and observability instrumentation
• Build platforms, tooling, and APIs that make it easier for other engineering teams to ship — whether that's faster pipeline deployments, better dashboards, or simpler alerting configuration
• Partner with internal customers (product and engineering teams) to understand their needs and translate them into scalable platform capabilities
• Communicate effectively in an async-first, distributed environment — proactively providing updates, discussing challenges, and proposing solutions without prompting
• Mentor junior engineers on the team, helping them ramp up on service operations and development practices
• Raise the bar of engineering excellence through code reviews, knowledge sharing, design discussions, and contributing to team best practices

Must Haves 

• Backend Engineering & Distributed Systems (4+ years)
• 4+ years of hands-on backend engineering experience designing, building, and operating production-grade distributed systems
• Strong proficiency in Python — the primary language for Airflow DAGs, platform services, and automation tooling
• Working proficiency in Golang — used for high-performance infrastructure components, metric pipelines, and platform services
• Experience building systems that process data at scale — whether metric ingestion pipelines, stream/batch processing, or high-throughput API services
• Demonstrated experience owning a service or platform end-to-end — from technical design through production deployment, monitoring, and iteration
• Comfortable balancing feature development with operational responsibilities: you've shipped features and kept them running reliably at scale
• Experience writing technical design documents that articulate trade-offs, propose solutions, and get buy-in from peers and tech leads
• Track record of breaking down ambiguous problems into concrete, deliverable milestones
• Experience with fault tolerance patterns — retries, circuit breakers, graceful degradation, backpressure — and knowing when to apply each
• Proven incident response capability: you've been on-call, diagnosed production issues under pressure, and driven them to resolution
• Strong testing discipline — unit tests, integration tests, and an understanding of what to test and how to keep test suites maintainable
• Ability to design systems with a forward-looking perspective — thinking about how your architecture handles 10x growth, multi-region deployment, and evolving requirements
• Ability to contribute to and influence cross-team technical direction — you're not just implementing specs, you're shaping the solution
• Async-first communication excellence — strong written communication skills for design docs, Slack discussions, PR reviews, and status updates across time zones
• Proactive communicator — you surface blockers early, share con
• Solid understanding of monitoring, alerting, and observability principles — you've instrumented services, set up dashboards, defined SLIs/SLOs, or triaged production incidents using metrics and logs

Nice to Have 

• Hands-on experience with Prometheus — PromQL queries, recording rules, alerting rules, relabeling configs, and understanding metric cardinality challenges at scale
• Experience with Grafana — building dashboards, templating, managing datasources, and creating meaningful visualizations for operational and business metrics
• Familiarity with commercial observability platforms like Chronosphere, Datadog, New Relic, or Honeycomb — understanding trade-offs between self-hosted and managed solutions
• Experience designing or operating an alerting pipeline — PagerDuty, OpsGenie, or similar — including alert routing, escalation policies, and reducing noise/alert fatigue

Cloud Infrastructure & Kubernetes

• Familiarity with AWS services — EC2, ECS, EKS, S3, RDS, IAM, CloudWatch, Lambda, SQS/SNS — and understanding how to architect cost-effective, secure cloud infrastructure
• Experience with Kubernetes (K8s) — deploying and operating workloads, understanding pods/services/deployments, Helm charts, and debugging cluster-level issues
• Exposure to Infrastructure-as-Code tools — Terraform, Pulumi, or CloudFormation — and understanding the value of declarative infrastructure management
• Experience with CI/CD pipelines — GitHub Actions, Jenkins, or similar — and optimizing build/deploy times for platform services

Programming & Framework

• Experience with Django or similar Python web frameworks — building APIs, managing migrations, and understanding ORM performance characteristics
• Familiarity with gRPC or protobuf for inter-service communication in a microservices architecture

Technical Leadership & Platform Thinking

• Experience leading a small team (2-4 engineers) to build a feature or component from scratch — scoping, task breakdown, code reviews, and delivery management
• Experience building internal developer platforms or tooling — CLIs, SDKs, self-service portals, or automation that improved developer productivity
• Track record of reducing operational toil — automating runbooks
  
  
  

Job Description

About the Role

Abnormal Security is looking for an experienced and driven backend software engineer to join the Product Features team. Join us and help build the platforms that power Abnormal's growth

• Integrations Platform - The backbone of customer trust. Engineer high-volume infrastructure that connects our cybersecurity platform to the tools enterprises rely on. Your work directly influences why customers choose Abnormal.
• Configuration Platform - The engine of developer velocity. Build intelligent systems that transform how 100+ engineers ship products. 

  Your Impact 

• Scale at the core: Design distributed systems handling massive volumes across cloud infrastructure
• Multiply team productivity: Create platforms that let engineers ship faster and build better
• Shape product decisions: Own infrastructure that defines what products we can build and how quickly we deliver them
• Drive business growth: Your platforms directly enable new customer wins and product launches

Join us to create an infrastructure that scales with our ambitious growth and directly impacts how we deliver exceptional products to our customers.

What you will do 

• Work with the Tech Lead, Engineering Manager and Product Manager to develop and deliver key features for the product
• Assist in guiding and mentoring junior members of the team
• Assume ownership of the reliability of the features you develop, including comprehensive unit tests and rigorous integration testing
• Participate in on-call rotations and provide technical support to effectively troubleshoot and resolve customer issues
• Communicate effectively with the team in an async manner. Display a strong sense of initiative and ownership in providing updates, discussing challenges and proposing solutions without prompting
• Raise the bar of excellence in engineering, actively contributing to knowledge sharing within the team and participating in professional development activities

Must Haves 

• 4+ years backend engineering with distributed systems - designing, building, and operating production applications in Python and Golang
• Proven platform ownership - end-to-end system design and delivery, balancing feature development with operational responsibilities at scale
• Low-latency, high-throughput expertise - building resilient, scalable systems with SQL/NoSQL databases and strong operational excellence (monitoring, fault tolerance, incident response)
• Architectural thinking - write technical design docs, make practical trade-offs, and influence cross-team technical direction with a futuristic view of system growth
• Growth-oriented mindset - demonstrated trajectory of increasing impact, responsibility, and ownership over time
• Asynchronous collaboration excellence - strong written communication and proven ability to work autonomously with distributed teams and remote stakeholders
• Quality-driven execution - detail-oriented approach to code quality, testing, and performance with a focus on sustainable, maintainable systems

Nice to Have 

• Experience with our stack: Python, Go, AWS, K8s, Django, Spark, Prometheus
• 2+ years of experience programming in Golang
• Familiarity with AWS services and deployment practices.
• Experience leading a small team to build a feature or component from scratch

Why You’ll Love It Here

• You’ll solve hard, meaningful problems at the intersection of AI, security, and large-scale distributed systems.
• You’ll work with smart, kind, and ambitious teammates who care deeply about craftsmanship, learning, and helping each other grow.
• You’ll get real ownership and autonomy over important parts of our systems and roadmap, with clear opportunities to grow toward Senior and Staff roles over time.
• You’ll be part of an AI-native R&D organization, with strong investment in tools, workflows, and training to help engineers use AI to move faster while raising the quality bar.

#LI-JP2

Job Description

About the Role

Abnormal Security is looking for a backend software engineer to work on customer-facing products that enable SOC teams to search across cloud email tenants, investigate threats, and perform remediation at scale. You'll work on systems that directly power how security teams find and act on malicious messages inside the Abnormal platform. We use AI-augmented development practices across our engineering org, and expect engineers to leverage modern AI tools to build faster and ship high-quality software with more leverage. The ideal candidate has backend and distributed systems experience, takes ownership of what they ship, and wants to work on products where reliability and speed directly affect customer security outcomes.

What You Will Do

• Design and build backend services that power search, remediation, and quarantine workflows across multi-tenant enterprise email environments
• Work with the Tech Lead, Engineering Manager, and Product Manager to scope, develop, and deliver features end-to-end
• Own the reliability of the systems you build, including unit tests, integration testing, and production observability
• Participate in on-call rotations and provide technical support to troubleshoot and resolve customer issues
• Contribute to API design for customer-facing REST endpoints used by security operations teams
• Communicate effectively in an async-first environment, provide updates, surface blockers, and propose solutions without prompting
• Leverage AI development tools to enhance productivity, optimize workflows, and deliver reliable production outcomes
• Mentor junior engineers and raise the engineering bar through code reviews and knowledge sharing

Must Haves

• BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field
• 3+ years of industry experience in backend development and distributed systems
• Experience building features and components from scratch and operating them in production, balancing feature work with operational reliability
• Experience working with distributed teams, proficient in asynchronous and written communication
• Experience improving service reliability, resiliency, and observability in production systems
• Strong fundamentals in computer science, data structures, and system design

Nice to Have

• Experience with our stack: Python, Go, AWS, Kubernetes, Django
• Experience with search systems, remediation workflows, or operational tooling used by SOC teams
• Experience with SIEM/SOAR integrations or platform APIs
• Exposure to email security, email authentication standards (DMARC, DKIM), or cybersecurity products

Job Description

About the Role

Abnormal Security is looking for a backend software engineer to work on customer-facing products that enable SOC teams to search across cloud email tenants, investigate threats, and perform remediation at scale. You'll work on systems that directly power how security teams find and act on malicious messages inside the Abnormal platform. We use AI-augmented development practices across our engineering org, and expect engineers to leverage modern AI tools to build faster and ship high-quality software with more leverage. The ideal candidate has backend and distributed systems experience, takes ownership of what they ship, and wants to work on products where reliability and speed directly affect customer security outcomes.

What You Will Do

• Design and build backend services that power search, remediation, and quarantine workflows across multi-tenant enterprise email environments
• Work with the Tech Lead, Engineering Manager, and Product Manager to scope, develop, and deliver features end-to-end
• Own the reliability of the systems you build, including unit tests, integration testing, and production observability
• Participate in on-call rotations and provide technical support to troubleshoot and resolve customer issues
• Contribute to API design for customer-facing REST endpoints used by security operations teams
• Communicate effectively in an async-first environment, provide updates, surface blockers, and propose solutions without prompting
• Leverage AI development tools to enhance productivity, optimize workflows, and deliver reliable production outcomes
• Mentor junior engineers and raise the engineering bar through code reviews and knowledge sharing

Must Haves

• BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field
• 3+ years of industry experience in backend development and distributed systems
• Experience building features and components from scratch and operating them in production, balancing feature work with operational reliability
• Experience working with distributed teams, proficient in asynchronous and written communication
• Experience improving service reliability, resiliency, and observability in production systems
• Strong fundamentals in computer science, data structures, and system design

Nice to Have

• Experience with our stack: Python, Go, AWS, Kubernetes, Django
• Experience with search systems, remediation workflows, or operational tooling used by SOC teams
• Experience with SIEM/SOAR integrations or platform APIs
• Exposure to email security, email authentication standards (DMARC, DKIM), or cybersecurity products

Scopely is looking for a Sr. Manager, Game Production to join the GSN Casino team in Bangalore!

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

The GSN Casino team is home to slots, bingo, cards, and more! Work on incredible games, including a top-10 grossing app, alongside the best in the business.

What You’ll Do

We are seeking an experienced Senior Manager of Production to lead the execution of the GSN Casino roadmap across New Features and Live Operations. In this critical leadership role, you will bring structure, momentum, and clarity to a fast-moving organisation, guiding a high-performing cross-functional team to deliver world-class, data-driven player experiences.

You will partner closely with the Executive Producer, Director of Product, and discipline leads to drive both day-to-day execution and long-term strategic planning. This role requires deep production expertise, exceptional leadership skills, and the ability to turn complex challenges into smooth workflows and predictable outcomes. Responsibilities may include:

• Drive execution of the game development team
• Partner closely with the game team's Executive Producer and Director of Product to to define the roadmap as well as own the execution of the roadmap across all teams, while tracking production goals.and drive the short and long term development objectives and translate these into clear operation and action plans
• Have a detailed understanding of where the projects are, aware of how each area is tracking, the goals, challenges, as well as managing risk assessment while also defining mitigation plans that deliver on great outcomes for the product
• Own the production team's output as measured by adherence to deadlines, quality and overall impact to the product and business
• Establish a culture that cultivates productivity by supporting and amplifying the team's efforts to achieve our goals
• Support in building the team with recruiting and mentoring from projects concept to release and beyond phase
• Identify major gaps in current workflows and foundational challenges in how the team operates as a whole, identifying & getting ahead of challenges, and directing leads in addressing complex issues / working to resolve them
• Discuss the key challenges and issues confronted by the game team, and outline the team's strategies to overcome them; see opportunities for executive support

What We’re Looking For

• Strategic Leadership & Judgment - Balances trade-offs, aligns with senior leaders, and drives transformational improvements in production processes
• Execution & Ownership - Brings clarity to ambiguity, ensures pipeline health, and consistently delivers on critical initiatives
• Cross-Functional Collaboration - Creates strong partnerships and resolves conflict with empathy and clarity
• Communication & Mentorship - Communicates with clarity and executive presence; creates an open and empowering environment where teams feel confident to speak up and contribute
• Process Optimization - Adept at rebuilding workflows to reduce friction, increase predictability, and elevate efficiency
• Data-Driven Decision Making - Uses production KPIs (CR, Velocity, )to diagnose issues, measure success, and guide continuous improvement
• LiveOps & F2P Expertise - Understands the balance between engagement, monetization, technical constraints, and content velocity
• Tooling & Systems Fluency - Hands-on experience with ClickUp, Jira, Airtable; able to identify gaps and build scalable systems

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

The Challenge 

We're looking for a  Senior Software Engineer that will report to the Development Manager / R&D Head. In this role, you will part of the R&D Team that works on mission-critical applications.

Your Mission 

Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. Our systems run in production at global scale and are used to build millions of real applications.

Since public launch, Emergent has reached $100M ARR in 8 months. 6M+ users across 190+ countries have built 6.5M+ applications on Emergent. We've raised $100M+, backed by Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator.

We're solving the hard part of AI-driven software creation: correctness, reliability, security, and scale in real production systems. The team is built by repeat founders, Olympiad medalists, IIT & IIM alumni, and leaders from Google, Amazon, and Dropbox.

We're hiring builders who want ownership, speed, and impact at global scale.

The Role: Millions of users build on Emergent every day, but we've barely scratched the surface. Your job as a PM is to enable the next billion creators to bring their ideas to life without any external help and run successful businesses on Emergent. You will own the roadmap for turning user behavior into sustainable growth, improving conversion, retention, and monetization to turn free users into paying customers, casual users into power users, and churn risks into champions.

What You'll Do:

• Own conversion and monetization: drive experiments across pricing, packaging, paywalls, upgrade flows, and in-product monetization levers
• Increase retention and engagement: identify drop-off points, design interventions, and ship features that keep users coming back
• Build customer insight loops: run user research, analyze behavioral data, synthesize feedback, and turn insights into high-impact product bets
• Define and obsess over metrics: track conversion funnels, LTV, churn, activation rates, and engagement cohorts. Measure everything, iterate relentlessly
• Partner across teams: work with Applied AI on agent capabilities, Software Architects on technical implementation, Growth and Analytics on experimentation, and Marketing on go-to-market, all to optimize the end-to-end user journey in Emergent's app builder
• Think like the customer: understand what makes users adopt, love, and pay for Emergent, then build the roadmap around it

Who You Are:

• 12+ years in product management, ideally at a high-growth tech company with strong focus on growth, conversion, or monetization
• Proven track record of working on B2C or B2B problems affecting millions of users, driving measurable impact on acquisition, retention, or revenue
• Strong technical fluency: you can work effectively with engineers, understand data models, write SQL queries, and interpret analytics dashboards
• Insatiable curiosity to experiment and learn the new AI stack: you're excited to understand how AI agents work and how to build products on top of them
• Customer-obsessed and data-driven: you start with user insights, validate with data, and ship with conviction
• Bias for action: you thrive in fast-paced environments, move quickly, and aren't afraid to fail forward

Why Join Us:

• Build products used by millions of creators worldwide
• Work with a high-caliber, maker-first team solving frontier AI problems
• Competitive compensation and meaningful equity
• Fast learning, real impact, and a clear path to ownership and growth

Benefits and Perks:

1. Daily Meals: Lunch and Dinner provided
2. Family Insurance: 3 Lakhs worth of coverage for you and your family
3. Unlimited Paid Time Off: Take the time you need to recharge and come back refreshed
4. Flexible Working Hours: Work arrangements that fit your life and commitments

Let's build the future of software together.

About PhonePe 

Our goal is to make digital payments so easy, safe and universally accepted that people never feel the need to carry cash or cards again. We believe India is at the cusp of a new mobile revolution, which will change the way we manage our money on the go. We see ourselves facilitating this change, through technology and dogged customer centricity.

At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one.

Being enthusiastic about tech is a big part of being at PhonePe. If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us!

 As a leader, you will be

• Facilitating discussions and lead decision making on all engineering aspects of his/her team
• Able to define and execute the engineering plans for the areas under his/her ownership
• Drive engineering best practices for the team
• Define, implement and maintain the hygiene of the production systems (both engineering and processes) for the areas under his/her ownership
• Responsible for the health of the business directly owned by the team
• Challenging business & product on outcomes, channelize feedback into execution and be accountable for engineering outputs
• Hiring, mentoring, and retaining a best-of-class engineering team
• Responsible for all stakeholder management including but not limited to business, product, operations and clients/vendors  

 As a leader, you must have

• Proven skills designing and developing simple to complex solutions including experience in designing and implementing large-scale distributed systems.
• Proven track record building and managing high-performing software development teams
• Practical experience and ability to drive design and architecture of multiple subsystems with other senior members in the team
• BTech, MTech, or PhD in Computer Science or a related technical discipline (or
• equivalent).
• 10+ years of software development experience and 3+ years in leading teams
• Excellent verbal and written communication skills with the ability to present complex technical information clearly and concisely to a variety of audiences
• Past experience with startups and fast paced environments is an added advantage

SRE - Service Delivery

Team:
The SRE - System Delivery team at PhonePe is a cross-functional, centralized, and horizontal team. We collaborate with other SRE teams to build various infrastructure services and carry out routine production management activities, including infrastructure scaling, database maintenance, and operating system vulnerability rollouts etc.

Job Overview:

As an SRESD Engineer, you will be part of a team responsible for building, managing, and scaling the production systems of PhonePe to ensure uninterrupted services to users across the country. You will primarily work on well-defined tasks under supervision and by following predefined SOPs.

Responsibilities and Duties:

• Build & manage various distributed systems such as Galera, Nginx, Aerospike, ElasticSearch and RMQ.
• Deploy operating system vulnerability fixes to production systems.
• Perform routine database maintenance activities.
• Build and roll out proxy configurations to production systems.
• Understand the criticality of production infrastructure.
• Be willing to work 24/7 shifts and provide on-call support across the SRE Organisation.

Core Technical Skills Required:

Minimum Qualifications

• Linux CLI Tools for System Administration - Proficiency in using command-line tools for managing Linux systems
• Disk & LVM Management - Hands-on experience with disk management and Logical Volume Manager (LVM)
• System Services - Understanding of managing and configuring system services
• Package Management - Understanding of package management tools and processes
• File Permissions - Understanding of Linux file permission systems
• Crontab & Scheduling - Understanding of cron jobs for task scheduling
• DNS Concepts - Understanding of DNS and its configuration
• Using Salt/Ansible for IaC - Understanding of Infrastructure as Code (IaC) using Salt or Ansible
• Database Concepts & Administration - Understanding of Shards, Partitions and Truncations
• Bash / Python Scripting - Proficiency in writing and debugging Bash / Python Scripts

Knowledge of the following will be a plus

• MariaDB or similar Distributed Database Systems
• Docker or similar Containerization technology
• Nginx or similar Proxy technology
• GIT
• Basic Networking Concepts
• Linux-based Firewall
• Basic understanding of HTTP & TLS Security
• Ability to write Python based scripts for various automations

Softskills:

• Good Interpersonal Communication Skills
• Ability to understand & follow SOPs

Qualifications:

• Minimum of 1-3 years of hands-on experience in Linux / Unix System Administration.

Work Location: Bangalore

Note: This role requires the candidate to be available for on-call shifts on a rotational

basis, covering 24 hours a day, 7 days a week.

ChargePoint is looking for an AI Engineer who will  design, development, and operation of production‑grade Generative AI systems. You will architect and deliver LLM‑powered applications, including Copilot‑style experiences, AI agents, and automation at enterprise scale.

You will operate with high autonomy, own complex technical initiatives end‑to‑end, and influence GenAI architecture and standards across teams.

Reports To

Senior Manager-Information Security

What You Will Be Doing

As an AI Engineer, you will:

What You Will Bring to ChargePoint

• Proven ability to own ambiguous, complex problem spaces
• Experience influencing architecture and technical direction beyond your immediate team
• Strong system design and debugging skills for distributed AI systems
• Ability to balance speed, quality, and risk in production AI deployments
• Passion for building scalable, maintainable, and responsible AI platforms
• Strong communication skills with engineers, product managers, and leadership

Requirements

• 4 plus years of professional software engineering experience
• Strong development skills in Python (required); experience with Java, Go, or TypeScript is a plus
• Deep hands‑on experience with LLMs and Generative AI systems
• Strong experience with RAG, embeddings, vector search, and prompt engineering
• Experience building Copilot‑style or agent‑based AI systems
• Strong understanding of distributed systems, APIs, and microservices
• Experience deploying and operating systems using Docker/Kubernetes
• Experience with Azure, AWS, or GCP
• Familiarity with LLMOps / MLOps practices

Good to Have

• Experience with AI governance, compliance, or regulated enterprise environments
• Experience with vector databases and retrieval optimization
• Prior ownership of AI systems running in production at scale

Location

Remote location in India

About the Team

The Product Trust team at Postman is responsible for building and maintaining highly secure, scalable, and reliable platform services that safeguard our users and their data. These services form the foundation of customer trust—from authentication and access controls to secret scanning, auditing, and compliance.

We work across the stack and across teams, partnering closely with infrastructure, product, and security to deliver solutions that protect our global user base.

The Opportunity

We are looking for an exceptional Senior Engineer who will lead the development of next-generation systems within the Product Trust domain. This role is ideal for someone who thrives in building critical platform components, enjoys solving complex infrastructure challenges, and has a deep appreciation for both security and user experience.

You will play a key role in shaping the technical roadmap, owning delivery end-to-end, and mentoring other engineers as we build resilient systems at scale.

What You’ll Do

• Design, build, and maintain tier 0 systems that are secure, scalable, and highly available.
• Take ownership of backend infrastructure that powers core trust and security features at Postman.
• Work with your manager and senior team members to evolve the technical roadmap for the Product Trust team and guide architectural decisions.
• Contribute to product design by bringing in a security and trust lens to every feature we ship.
• Lead engineering best practices in code quality, observability, incident response, and system reliability.
• Mentor engineers within the team and support hiring, onboarding, and planning efforts.

About You

• 5+ years of experience in backend or full-stack engineering roles, ideally in platform or security-focused domains.
• Expertise with Node.js, TypeScript/JavaScript, and web frameworks (e.g., React) along with solid web fundamentals.
• Strong understanding of distributed systems, databases (SQL/NoSQL), web services, and backend architecture.
• Passion for building products that are secure by design and delightfully simple for users.
• Demonstrated experience driving projects from ideation to production.
• Strong system design, problem-solving, and debugging skills.
• A collaborative mindset and the ability to work effectively across team boundaries.
• Experience with mentoring engineers or leading small teams is a strong plus.

Why Join Us?

• Help shape the future of trust and security for millions of developers globally.
• Lead initiatives that directly impact product integrity, reliability, and compliance.
• Collaborate with world-class engineers in a high-growth, product-driven environment.
• Join a company that values curiosity, transparency, ownership, and winning together.

• Lead and Mentor: Manage, mentor, and grow a high-performing SRE team, fostering a culture of ownership, learning, and collaboration.
• System Reliability: Own the availability, scalability, and performance of business-critical systems across production environments.
• Incident Management: Define and improve incident response processes, ensuring quick mitigation and clear postmortems to drive learning and prevention.
• Operational Excellence: Develop and track SLOs, SLIs, and SLAs, ensuring engineering teams meet reliability targets.
• Automation & Tooling: Drive initiatives to automate manual operations, improve observability, and reduce toil.
• Collaboration: Work closely with software engineering, platform, and security teams to build reliable, secure, and scalable systems.
• Capacity & Cost Planning: Anticipate growth and ensure systems scale efficiently while keeping infrastructure costs under control.
• Continuous Improvement: Champion reliability best practices, chaos testing, and capacity planning to evolve systems proactively.
• On-Call Health: Maintain a healthy on-call rotation that balances coverage with team well-being.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in Site Reliability Engineering, DevOps, or Production Engineering, with at least 2+ years in a people management or tech lead role.
• Strong understanding of distributed systems, cloud infrastructure (AWS preferred), container orchestration (Kubernetes), and networking fundamentals.
• Expertise in observability platforms (Datadog, Prometheus, OpenTelemetry) and incident management best practices.
• Proficiency with automation/scripting (Python, Go, or similar) and infrastructure-as-code (Terraform, Pulumi).
• Experience defining and driving SLO/SLI-based reliability strategies.
• Excellent problem-solving skills and ability to lead teams through complex production incidents.
• Exceptional communication skills, with the ability to collaborate with engineering and business stakeholders.
• Passion for building resilient systems and enabling teams to deliver software quickly and safely.