Solvd, Inc.

iOS Engineer

• Build and ship UI-heavy iOS features primarily in Swift and SwiftUI.
• Run experiments end-to-end in 1–3 day to one-week timeframes.
• Take product briefs, run technical spikes independently, and come back with an implementation plan and Jira tickets.
• Work cross-functionally with PM and designers to define experiment requirements.
• Balance speed with quality — move fast without cutting corners that create future pain.

Senior iOS Engineer

Project Manager

• Own end-to-end delivery of a complex cloud migration program, including scope, schedule, budget, risks, quality, and stakeholder communication.
• Manage the overall delivery plan and coordinate dependencies across parallel workstreams, including desktop collector, ETL migration, Admin UI rebuild, and Marketplace submission.
• Ensure Snowflake Marketplace submission activities, certification requirements, and critical delivery milestones are successfully planned and executed.
• Manage project financials, scope changes, risks, and key delivery decisions throughout the engagement.
• Act as the primary point of contact for client stakeholders and delivery teams.
• Facilitate governance and executive-level status reviews, providing clear visibility into progress, risks, dependencies, and mitigation plans.
• Serve as the primary escalation point for delivery challenges and cross-team issues.
• Lead distributed cross-functional teams across engineering, data, QA, and business functions.
• Drive accountability, collaboration, and high-quality execution across multiple concurrent workstreams.
• Establish effective governance, reporting, and delivery controls to ensure predictable project outcomes.
• Leverage AI tools and modern delivery practices to improve planning, reporting, documentation, risk management, and team productivity.
• Collaborate effectively with AI, data, and engineering teams on initiatives involving intelligent automation and AI-powered solutions.
• Lead knowledge transfer and transition activities for the planned handover to the client's offshore software team.
• Ensure documentation, processes, and operational knowledge are structured for long-term sustainability and successful transition.
• Support estimation, solution planning, and proposal activities for future cloud, data, and AI-related opportunities when needed.

Senior Project Manager

Cloud Engineer

• Design and implement scalable, secure AWS architectures based on client requirements
• Assess current-state environments and propose effective cloud migration strategies
• Build patterns and frameworks to support repeatable, high-quality delivery
• Lead implementation of AWS services including compute, networking, storage, IAM, databases, and serverless
• Troubleshoot issues during delivery and guide teams in operational best practices
• Ensure performance, reliability, and security across deployed solutions
• Collaborate with stakeholders to gather requirements and validate solution designs
• Act as a trusted advisor on cloud strategy, modernization options, and industry trends
• Translate complex technical concepts into clear, actionable guidance for both technical and non-technical audiences
• Mentor team members and contribute to internal learning initiatives
• Develop documentation, reusable assets, templates, and best practices for future projects
• Promote continuous improvement within Solvd’s Cloud Engineering practice

Data Engineer

• Own the multi-region data architecture across six AWS-native engines: Aurora MySQL, Cassandra, ElastiCache (Redis / Valkey), DynamoDB, DocumentDB, and Neptune. For each, define the cross-region replication pattern (Aurora Global Database, DynamoDB Global Tables, DocumentDB Global Clusters, Cassandra multi-DC, MemoryDB or Valkey global datastore, Neptune Global Database) and the operational model that supports it.
• Define and own the per-tier RTO and RPO commitments (Tier 0 / Tier 1 / Tier 2) and the cutover and failback runbooks and perform validation using Fault Injection Service / Game Days.
• Sequence the data-layer cutover across all three program phases. Identify strong-consistency vs eventual-consistency decisions per workload, and where active-active is feasible vs where region-sharded ledgers or single-writer with replicated read-models is the right pattern.
• Lead a team of Database Engineers across the engines. Set the technical bar, review designs, and unblock implementation. Partner with the client's DB and SRE leadership on architecture decisions and Operational Readiness Reviews.
• Translate data-layer constraints into the application decomposition strategy. Where the monolith is being broken up into microservices, advise on data ownership boundaries (DDD-aligned), strangler-fig extraction patterns, CDC pipelines (DMS, DDB Streams, Kafka Connect), and the event-based contracts that decouple services from the monolith.
• Produce the audit-grade artifacts the client and their regulators expect: replication runbooks, DR test evidence, RTO and RPO measurement methodology, and Well-Architected Reliability Pillar alignment.

Principal Database Architect – Multi-Region Data Platform

Ecommerce

• Hunt without apology. Build your pipeline from scratch across ecommerce and BFSI accounts through outbound, partner channels, executive referrals, and relentless prospecting. No one is handing you a territory.
• Lead with vertical insight, not features. Walk into discovery conversations knowing the AI use cases that move the needle in retail and financial services — personalization, fraud, risk modeling, customer lifecycle, data infrastructure — and surface the opportunities your clients haven't fully articulated yet.
• Own the full sales cycle. From cold outreach to signed agreement, you drive it — shaping proposals, navigating complex multi-stakeholder buying groups, negotiating, and closing.
• Earn the C-suite relationship. Get to CIOs, CTOs, and CDOs before your competitors, bring a credible point of view on their industry challenges, and become the advisor they call before the RFP goes out.
• Co-create with the technical team. Partner with Solvd architects and engineers to build transformation programs that win on substance. The best deals here are shaped collaboratively — and that's your competitive edge.
• Translate capability into business outcomes. Compliance cost reduction. Fraud loss containment. Conversion rate lift. Customer lifetime value. Learn to speak the outcomes language of each vertical — and make the business case that lands in the boardroom.

Enterprise Account Executive – AI for Ecommerce, Financial Services

Backend Engineer

• Implement and operate cross-region replication for one or more of: Aurora MySQL Global Database, DynamoDB Global Tables, DocumentDB Global Clusters, Cassandra multi-DC topology, ElastiCache / MemoryDB / Valkey global datastore, Neptune Global Database, OpenSearch cross-cluster replication.
• Codify everything in Terraform (or CDK).
• Build the observability layer for replication health: lag metrics, consistency checks, alarm thresholds, and runbook automation. Datadog is the primary observability stack; CloudWatch is the baseline.
• Author and execute failover and failback runbooks. Run game-days using AWS Fault Injection Service. Measure and report against RTO and RPO targets.
• Implement KMS cross-account replication, IAM service principals for replication roles, and the secrets and parameter strategy for region-local dependencies.
• Support data extraction from the monolith into microservices: build CDC pipelines (DMS, DynamoDB Streams, Kafka Connect, Debezium), validate data integrity, and own the cutover sequence for individual extractions.
• Pair with application engineers on connection-string abstraction, retry and idempotency patterns, and graceful degradation during region failover.
• Write design docs and runbooks the client team can take over after the engagement.

Database Engineer

Account Executive

• Hunt. Build your pipeline from scratch through outbound, partner channels, executive referrals, and relentless prospecting
• Own the full sales cycle — discovery, shaping, proposal, negotiation, close — with no hand-holding and no excuses
• Get to CIOs and CTOs before your competitors do, and make sure you're the one framing the problem
• Partner with Solvd architects and engineers to build programs that win on substance, not just story
• Close complex, multi-stakeholder enterprise deals and do it repeatedly

Enterprise Account Executive – AI, Data & Digital Engineering

Solutions Engineer

• Lead the design of GenAI / Agentic AI-enabled solution architectures and buy vs build decisions that balance innovation, feasibility and scalability.
• Actively participate in presales partnering with sales representatives, deal architects, product analysts and technology SMEs to define technical scope, implementation roadmap and effort estimates.
• Translate high-level business use cases into detailed AI system designs covering model strategy, data access, orchestration and integration patterns.
• Evaluate and select appropriate AI frameworks, platforms and tools (e.g., LLMs, vector databases, orchestration frameworks, cloud AI services).
• Create architectural artifacts, proof-of-concepts, and technical documentation to support proposals and client discussions.
• Present and defend architectural decisions to both business and technical stakeholders during presales and early project stages.
• Ensure proposed solutions adhere to security, compliance, and Responsible AI principles.
• Stay ahead of industry trends, evaluate new tools and adoption frameworks.

Presales AI Solutions Architect

Full-stack Engineer

• Lead the refactoring and decomposition of monolithic applications into microservices-based architectures.
• Define and enforce best practices for API design, business logic, and system integrations.
• Guide and mentor developers in implementing scalable, maintainable, and secure services.
• Drive adoption of cloud-native and containerized deployment models, primarily within Azure environments.
• Oversee development and optimization of high-volume data processing workflows.
• Integrate and consume data from Microsoft Fabric and related data platforms.
• Collaborate with cross-functional teams to align technical solutions with business goals.
• Ensure performance, reliability, and scalability across distributed systems.